A Generative Physics-Informed Reinforcement Learning-Based Approach for Construction of Representative Drive Cycle | Paper Citation Record

Observation 56e9dc52-0b3e-4077-b18e-c6d53d7c074f · outbound

This paper cites Available at:https:// www.canada.ca/en/environment-climate-change/services/environmental-indicators/ greenhouse-gas-emissions.html.

A Generative Physics-Informed Reinforcement Learning-Based Approach for Construction of Representative Drive Cycle Available at:https:// www.canada.ca/en/environment-climate-change/services/environmental-indicators/ greenhouse-gas-emissions.html

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:28:44.379049Z

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Observation 1765fdfb-2e71-44bd-9a13-c20d468ed270 · outbound

This paper cites Available at:https://www.un.org/en/ climatechange/science/causes-effects-climate-change.

A Generative Physics-Informed Reinforcement Learning-Based Approach for Construction of Representative Drive Cycle Available at:https://www.un.org/en/ climatechange/science/causes-effects-climate-change

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:28:44.227150Z

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Observation 06684dc8-df65-4518-b56e-c81ba1cd86f8 · outbound

This paper cites Fuel consumption and CO2 emissions from passenger cars in Europe—Laboratory versus real-world emissions,.

A Generative Physics-Informed Reinforcement Learning-Based Approach for Construction of Representative Drive Cycle Fuel consumption and CO2 emissions from passenger cars in Europe—Laboratory versus real-world emissions,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:28:44.068479Z

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Observation d1566eed-e01c-48e5-8afc-137d00294fc2 · outbound

This paper cites Development of real-world driving cycle: Case study of Pune, India,.

A Generative Physics-Informed Reinforcement Learning-Based Approach for Construction of Representative Drive Cycle Development of real-world driving cycle: Case study of Pune, India,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:28:43.847127Z

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Observation 18d3e9fa-c4f6-4f50-ae80-70f553ebef28 · outbound

This paper cites Using large driving record samples and a stochastic approach for real-world driving cycle construction: Winnipeg driving cycle,.

A Generative Physics-Informed Reinforcement Learning-Based Approach for Construction of Representative Drive Cycle Using large driving record samples and a stochastic approach for real-world driving cycle construction: Winnipeg driving cycle,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:28:43.671774Z

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Observation f2569a77-3a48-48de-aa27-cea8b9096aa6 · outbound

This paper cites an unresolved cited work.

A Generative Physics-Informed Reinforcement Learning-Based Approach for Construction of Representative Drive Cycle Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:28:43.486867Z

Source-reported events for the cited work

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Observation c46ff8ff-9fc9-4f00-aa5e-be4c1da3dd50 · outbound

This paper cites Characterization of vehicle driving patterns and development of driving cycles in Chinese cities,.

A Generative Physics-Informed Reinforcement Learning-Based Approach for Construction of Representative Drive Cycle Characterization of vehicle driving patterns and development of driving cycles in Chinese cities,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:28:43.300797Z

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Observation eaf064d9-c3d2-4f15-b8a4-5b05f0c3f237 · outbound

This paper cites Development of urban driving cycle with GPS data post processing,.

A Generative Physics-Informed Reinforcement Learning-Based Approach for Construction of Representative Drive Cycle Development of urban driving cycle with GPS data post processing,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:28:43.139015Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c4454d4e-211e-4e4a-8961-b5d6e4125ed0 · outbound

This paper cites Delivery vehicle fleet data collection, analysis and naturalistic driving cycles synthesis,.

A Generative Physics-Informed Reinforcement Learning-Based Approach for Construction of Representative Drive Cycle Delivery vehicle fleet data collection, analysis and naturalistic driving cycles synthesis,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:28:42.960239Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d44df107-2dfd-4412-9376-77f840fa9c3d · outbound

This paper cites Generation of equivalent driving cycles using Markov chains and mean tractive force components,.

A Generative Physics-Informed Reinforcement Learning-Based Approach for Construction of Representative Drive Cycle Generation of equivalent driving cycles using Markov chains and mean tractive force components,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:28:42.814668Z

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Observation 42ea08c1-539e-4bad-b50f-caf005c2a5dd · outbound

This paper cites Stochastic synthesis of representative and multidimensional driving cycles,.

A Generative Physics-Informed Reinforcement Learning-Based Approach for Construction of Representative Drive Cycle Stochastic synthesis of representative and multidimensional driving cycles,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:28:42.702332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c9ce9963-e599-4b0b-88f2-28ce0e5edada · outbound

This paper cites Simulation of real-world vehicle missions using a stochastic Markov model for optimal powertrain sizing,.

A Generative Physics-Informed Reinforcement Learning-Based Approach for Construction of Representative Drive Cycle Simulation of real-world vehicle missions using a stochastic Markov model for optimal powertrain sizing,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:28:42.546597Z

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Observation 7b08087b-7b57-4300-8fa8-9ce07bb79b78 · outbound

This paper cites Available at:https://www.canada.ca/ en/environment-climate-change/services/climate-change/greenhouse-gas-emissions/ sources-sinks-executive-summary-2024.html.

A Generative Physics-Informed Reinforcement Learning-Based Approach for Construction of Representative Drive Cycle Available at:https://www.canada.ca/ en/environment-climate-change/services/climate-change/greenhouse-gas-emissions/ sources-sinks-executive-summary-2024.html

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:28:42.385500Z

Source-reported events for the cited work

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Observation c17a729e-bdb6-4ccc-aec2-c0b445a636e7 · outbound

This paper cites Available at:https://edgar.jrc.ec.europa.eu/report_.

A Generative Physics-Informed Reinforcement Learning-Based Approach for Construction of Representative Drive Cycle Available at:https://edgar.jrc.ec.europa.eu/report_

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:28:42.239097Z

Source-reported events for the cited work

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Observation b22700a2-fd83-4636-bf8c-04f85123cf3c · outbound

This paper cites Environmental Protection Agency,Regulations for Onroad Vehicles and Engines,.

A Generative Physics-Informed Reinforcement Learning-Based Approach for Construction of Representative Drive Cycle Environmental Protection Agency,Regulations for Onroad Vehicles and Engines,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:28:41.918863Z

Source-reported events for the cited work

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Observation 33a45542-1d3a-4893-8798-937feb4fb044 · outbound

This paper cites Available at:https://pollution-waste.canada.ca/ environmental-protection-registry/regulations/view?Id=119.

A Generative Physics-Informed Reinforcement Learning-Based Approach for Construction of Representative Drive Cycle Available at:https://pollution-waste.canada.ca/ environmental-protection-registry/regulations/view?Id=119

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:28:41.658754Z

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Observation c3b6fb40-bc86-4272-bc5a-2bb43dcfb74a · outbound

This paper cites Accessed: December 19, 2024.

A Generative Physics-Informed Reinforcement Learning-Based Approach for Construction of Representative Drive Cycle Accessed: December 19, 2024

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:28:41.785373Z

Source-reported events for the cited work

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Observation 4aca517b-dc44-4160-8ccb-42843c92c30a · outbound

This paper cites Fuzzy energy management strategy for electric vehicle combining driving cycle construction and air-conditioning load identification,.

A Generative Physics-Informed Reinforcement Learning-Based Approach for Construction of Representative Drive Cycle Fuzzy energy management strategy for electric vehicle combining driving cycle construction and air-conditioning load identification,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:28:41.368753Z

Source-reported events for the cited work

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Observation 57de7cc0-bc70-4255-acf0-e0a188dee227 · outbound

This paper cites A review on air emissions assessment: Transportation,.

A Generative Physics-Informed Reinforcement Learning-Based Approach for Construction of Representative Drive Cycle A review on air emissions assessment: Transportation,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:28:41.496097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 32ac3b77-b4df-4873-9aa2-42f640c25df4 · outbound

This paper cites A parallel hybrid electric vehicle energy management strategy using stochastic model predictive control with road grade preview,.

A Generative Physics-Informed Reinforcement Learning-Based Approach for Construction of Representative Drive Cycle A parallel hybrid electric vehicle energy management strategy using stochastic model predictive control with road grade preview,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:28:41.042586Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e2475463-ebff-4c1e-932e-f5a76cf8124c · outbound

This paper cites Modeling transit bus emissions using MOVES: Comparison of default distributions and embedded drive cycles with local data,.

A Generative Physics-Informed Reinforcement Learning-Based Approach for Construction of Representative Drive Cycle Modeling transit bus emissions using MOVES: Comparison of default distributions and embedded drive cycles with local data,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:28:41.217621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c3fcc416-2b19-4478-9997-bd1b728ffbcd · outbound

This paper cites Effects of passenger load, road grade, and congestion level on real-world fuel consumption and emissions from compressed natural gas and diesel urban buses,.

A Generative Physics-Informed Reinforcement Learning-Based Approach for Construction of Representative Drive Cycle Effects of passenger load, road grade, and congestion level on real-world fuel consumption and emissions from compressed natural gas and diesel urban buses,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:28:40.727923Z

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Observation 381a22b8-8352-4bec-8c2e-937a864cf468 · outbound

This paper cites A representative urban driving cycle for passenger vehicles to estimate fuel consumption and emission rates under real-world driving conditions,.

A Generative Physics-Informed Reinforcement Learning-Based Approach for Construction of Representative Drive Cycle A representative urban driving cycle for passenger vehicles to estimate fuel consumption and emission rates under real-world driving conditions,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:28:40.854199Z

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Observation 0571860b-2b47-4db7-92cf-0458f6e30665 · outbound

This paper cites Evaluating the impact of road grade on simulated commercial vehicle fuel economy using real-world drive cycles,.

A Generative Physics-Informed Reinforcement Learning-Based Approach for Construction of Representative Drive Cycle Evaluating the impact of road grade on simulated commercial vehicle fuel economy using real-world drive cycles,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:28:40.322256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c2df8a1a-bdb2-4961-8040-b04c0836ecb9 · outbound

This paper cites The impacts from cold start and road grade on real-world emissions and fuel consumption of gasoline, diesel and hybrid-electric light-duty passenger vehicles,.

A Generative Physics-Informed Reinforcement Learning-Based Approach for Construction of Representative Drive Cycle The impacts from cold start and road grade on real-world emissions and fuel consumption of gasoline, diesel and hybrid-electric light-duty passenger vehicles,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:28:40.492664Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c5f3d788-80f8-403c-b22b-ab78980359ac · outbound

This paper cites Development of a representative driving cycle for urban buses based on the K-means cluster method,.

A Generative Physics-Informed Reinforcement Learning-Based Approach for Construction of Representative Drive Cycle Development of a representative driving cycle for urban buses based on the K-means cluster method,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:28:39.941095Z

Source-reported events for the cited work

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Observation fa6352e3-e40b-406b-b66c-5f907ec3ae67 · outbound

This paper cites Using the equal-power-based MCE to transform driving cycles with road grade for testing heavy-duty vehicle fuel consumption on dynamometer,.

A Generative Physics-Informed Reinforcement Learning-Based Approach for Construction of Representative Drive Cycle Using the equal-power-based MCE to transform driving cycles with road grade for testing heavy-duty vehicle fuel consumption on dynamometer,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:28:40.104725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation ebd2dd04-0a01-445f-964f-a391a9d38dc5 · outbound

This paper cites The effect of driving cycle duration on its representativeness,.

A Generative Physics-Informed Reinforcement Learning-Based Approach for Construction of Representative Drive Cycle The effect of driving cycle duration on its representativeness,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:28:39.571059Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation ee227e1f-a600-47f8-b2c3-b0f44a472356 · outbound

This paper cites Driving cycles that reproduce driving patterns, energy consumptions and tailpipe emissions,.

A Generative Physics-Informed Reinforcement Learning-Based Approach for Construction of Representative Drive Cycle Driving cycles that reproduce driving patterns, energy consumptions and tailpipe emissions,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:28:39.739803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation bc817969-598a-401e-9b33-4537fe036bbf · outbound

This paper cites A time series clustering based approach for construction of real-world drive cycles,.

A Generative Physics-Informed Reinforcement Learning-Based Approach for Construction of Representative Drive Cycle A time series clustering based approach for construction of real-world drive cycles,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:28:39.217462Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f6295e5a-7738-4208-8956-6634a1fbab35 · outbound

This paper cites Data-driven identification of characteristic real-driving cycles based on K-means clustering and mixed-integer optimization,.

A Generative Physics-Informed Reinforcement Learning-Based Approach for Construction of Representative Drive Cycle Data-driven identification of characteristic real-driving cycles based on K-means clustering and mixed-integer optimization,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:28:39.390326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 2f739f4e-da34-4a59-9be2-5881027acad1 · outbound

This paper cites Optimization-based method to develop practical driving cycle for application in electric vehicle power management: A case study in Shenyang, China,.

A Generative Physics-Informed Reinforcement Learning-Based Approach for Construction of Representative Drive Cycle Optimization-based method to develop practical driving cycle for application in electric vehicle power management: A case study in Shenyang, China,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:28:38.900380Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 3293aea3-3fcd-477c-ae4c-c208d880b8fe · outbound

This paper cites Optimization based method to develop representative driving cycle for real-world fuel consumption estimation,.

A Generative Physics-Informed Reinforcement Learning-Based Approach for Construction of Representative Drive Cycle Optimization based method to develop representative driving cycle for real-world fuel consumption estimation,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:28:39.076085Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 25b59177-e8ad-4b06-a45b-83cdd8b3ff85 · outbound

This paper cites An exploratory analysis comparing a stochastic driving cycle to California’s regulatory cycle,.

A Generative Physics-Informed Reinforcement Learning-Based Approach for Construction of Representative Drive Cycle An exploratory analysis comparing a stochastic driving cycle to California’s regulatory cycle,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:28:38.560468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e898c106-3bc5-422e-bbf3-36ce3fb0f59c · outbound

This paper cites Using the AMCE algorithm to highly efficiently develop vehicle driving cycles with road grade,.

A Generative Physics-Informed Reinforcement Learning-Based Approach for Construction of Representative Drive Cycle Using the AMCE algorithm to highly efficiently develop vehicle driving cycles with road grade,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:28:38.709880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 2940b5a5-d271-47d1-931a-67467292f7f9 · outbound

This paper cites Constructing representative driving cycle for heavy duty vehicle based on Markov chain method considering road slope,.

A Generative Physics-Informed Reinforcement Learning-Based Approach for Construction of Representative Drive Cycle Constructing representative driving cycle for heavy duty vehicle based on Markov chain method considering road slope,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:28:38.262017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c4ea4076-ebaa-4430-975c-5acde99ff1bb · outbound

This paper cites A novel optimization-based method to develop representative driving cycle in various driving conditions,.

A Generative Physics-Informed Reinforcement Learning-Based Approach for Construction of Representative Drive Cycle A novel optimization-based method to develop representative driving cycle in various driving conditions,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:28:38.418088Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 74cad225-6d27-4c83-b7bd-7cf05a48064c · outbound

This paper cites A driving cycle construction methodology combining K-means clustering and Markov model for urban mixed roads,.

A Generative Physics-Informed Reinforcement Learning-Based Approach for Construction of Representative Drive Cycle A driving cycle construction methodology combining K-means clustering and Markov model for urban mixed roads,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:28:37.900424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation eb195394-3dbe-44c9-9c48-d012c5e76732 · outbound

This paper cites Markov chain-based approach of the driving cycle development for electric vehicle application,.

A Generative Physics-Informed Reinforcement Learning-Based Approach for Construction of Representative Drive Cycle Markov chain-based approach of the driving cycle development for electric vehicle application,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:28:38.064859Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation ba70fdf6-5714-4959-a931-61bcd72cb2cf · outbound

This paper cites High-efficiency driving cycle generation using a Markov chain evolution algorithm,.

A Generative Physics-Informed Reinforcement Learning-Based Approach for Construction of Representative Drive Cycle High-efficiency driving cycle generation using a Markov chain evolution algorithm,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:28:37.631982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 4a09a2d0-3686-46b1-9c46-4de2d619cc5d · outbound

This paper cites A clustering-based optimization method for driving cycle construction: A case study in Fuzhou and Putian, China,.

A Generative Physics-Informed Reinforcement Learning-Based Approach for Construction of Representative Drive Cycle A clustering-based optimization method for driving cycle construction: A case study in Fuzhou and Putian, China,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:28:37.793520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation ac99b63a-0426-466a-80f0-a0f12b7d66c1 · outbound

This paper cites Environmental Protection Agency,MOVES Algorithms, 2023.

A Generative Physics-Informed Reinforcement Learning-Based Approach for Construction of Representative Drive Cycle Environmental Protection Agency,MOVES Algorithms, 2023

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:28:37.342390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c494c6c1-97b6-460d-b9df-7d7c242b7e68 · outbound

This paper cites exploration: A study of count-based exploration for deep reinforcement learning,.

A Generative Physics-Informed Reinforcement Learning-Based Approach for Construction of Representative Drive Cycle exploration: A study of count-based exploration for deep reinforcement learning,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:28:37.460883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 1847e06a-d121-4a92-8a68-68801b46db5c · outbound

This paper cites Road transportation emissions and energy consumption in cold climate cities,.

A Generative Physics-Informed Reinforcement Learning-Based Approach for Construction of Representative Drive Cycle Road transportation emissions and energy consumption in cold climate cities,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:28:36.987606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation ed3113d4-fd96-4087-b683-97f5441a2f31 · outbound

This paper cites an unresolved cited work.

A Generative Physics-Informed Reinforcement Learning-Based Approach for Construction of Representative Drive Cycle Unresolved cited work

Reference 45

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:28:37.186062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation ddb4d2cc-a53b-4326-89f0-143f48636802 · outbound

This paper cites Karlsson, A.

A Generative Physics-Informed Reinforcement Learning-Based Approach for Construction of Representative Drive Cycle Karlsson, A

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:28:36.545515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 1780818a-565b-4383-87a1-4110367ba2b1 · outbound

This paper cites Comparisons of discretionary passenger vehicle idling behavior by season and trip stage with global positioning system and onboard diagnostic devices,.

A Generative Physics-Informed Reinforcement Learning-Based Approach for Construction of Representative Drive Cycle Comparisons of discretionary passenger vehicle idling behavior by season and trip stage with global positioning system and onboard diagnostic devices,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:28:36.785228Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 5cd7841f-822c-4192-a99d-c0ddeaba6c1d · outbound

This paper cites Assessing the influence of adverse weather on traffic flow characteristics using a driving simulator and VISSIM,.

A Generative Physics-Informed Reinforcement Learning-Based Approach for Construction of Representative Drive Cycle Assessing the influence of adverse weather on traffic flow characteristics using a driving simulator and VISSIM,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:28:36.205646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 796a593d-c37b-4819-8964-0f0393a3cad2 · outbound

This paper cites Influence of adverse weather on drivers’ perceived risk during car following based on driving simulations,.

A Generative Physics-Informed Reinforcement Learning-Based Approach for Construction of Representative Drive Cycle Influence of adverse weather on drivers’ perceived risk during car following based on driving simulations,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:28:36.357980Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 5e6ceb1d-d1e8-4e89-bf86-55ac53e6ff8d · outbound

This paper cites Investigating the impact of fog on freeway speed selection using the SHRP2 naturalistic driving study data,.

A Generative Physics-Informed Reinforcement Learning-Based Approach for Construction of Representative Drive Cycle Investigating the impact of fog on freeway speed selection using the SHRP2 naturalistic driving study data,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:28:35.891900Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 07885544-0855-47bf-a846-96937a93687b · outbound

This paper cites Stage-specific impacts of hazy weather on car following,.

A Generative Physics-Informed Reinforcement Learning-Based Approach for Construction of Representative Drive Cycle Stage-specific impacts of hazy weather on car following,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:28:36.043581Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 1041d404-4b07-46a5-b0a1-a0a23644c5bc · outbound

This paper cites Correcting the cognitive bias for commuting time to relieve the driving stress level in snow weather condition: A naturalistic driving study in Harbin, China,.

A Generative Physics-Informed Reinforcement Learning-Based Approach for Construction of Representative Drive Cycle Correcting the cognitive bias for commuting time to relieve the driving stress level in snow weather condition: A naturalistic driving study in Harbin, China,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:28:35.510202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 89304aa2-bae5-46ed-898a-213745a65015 · outbound

This paper cites an unresolved cited work.

A Generative Physics-Informed Reinforcement Learning-Based Approach for Construction of Representative Drive Cycle Unresolved cited work

Reference 53

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:28:35.669848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 8919b893-3519-488a-b321-27d47eb426b8 · outbound

This paper cites Driving cycle equivalence and transformation,.

A Generative Physics-Informed Reinforcement Learning-Based Approach for Construction of Representative Drive Cycle Driving cycle equivalence and transformation,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:28:35.199355Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 82ef7885-14d2-4f11-971a-f43b3187c10b · outbound

This paper cites Impacts of reduced visibility under hazy weather condition on collision risk and car-following behavior: Implications for traffic control and management,.

A Generative Physics-Informed Reinforcement Learning-Based Approach for Construction of Representative Drive Cycle Impacts of reduced visibility under hazy weather condition on collision risk and car-following behavior: Implications for traffic control and management,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:28:35.343986Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 48c174fd-dec9-4575-9a92-9cbb5d1897e1 · outbound

This paper cites Driving cycle developments and their impacts on energy consumption of transportation,.

A Generative Physics-Informed Reinforcement Learning-Based Approach for Construction of Representative Drive Cycle Driving cycle developments and their impacts on energy consumption of transportation,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:28:34.870840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e41630c3-2d4c-4e6b-8b18-9e1999fbab62 · outbound

This paper cites A reference book of driving cycles for use in the measurement of road vehicle emissions,.

A Generative Physics-Informed Reinforcement Learning-Based Approach for Construction of Representative Drive Cycle A reference book of driving cycles for use in the measurement of road vehicle emissions,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:28:35.019173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 56f223c1-c145-405f-a2ed-ac9aac04e577 · outbound

This paper cites Energy management systems for battery electric vehicles,.

A Generative Physics-Informed Reinforcement Learning-Based Approach for Construction of Representative Drive Cycle Energy management systems for battery electric vehicles,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:28:34.494845Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation bd8d7624-7f2e-438f-9c46-bd16f6cc77b2 · outbound

This paper cites Meta-heuristics optimization in electric vehicles—an extensive review,.

A Generative Physics-Informed Reinforcement Learning-Based Approach for Construction of Representative Drive Cycle Meta-heuristics optimization in electric vehicles—an extensive review,

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:28:34.672690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 9f8273be-33dc-4b1c-8634-868e3ebd0658 · outbound

This paper cites Worldwide harmonized light-vehicles test procedure (WLTP) und real driving emissions (RDE) — aktueller stand der diskussion und erste messergebnisse,.

A Generative Physics-Informed Reinforcement Learning-Based Approach for Construction of Representative Drive Cycle Worldwide harmonized light-vehicles test procedure (WLTP) und real driving emissions (RDE) — aktueller stand der diskussion und erste messergebnisse,

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:28:34.166379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d5ff712b-ec42-473c-a930-6858c9710452 · outbound

This paper cites Emission Test Cycles – FTP-75,.

A Generative Physics-Informed Reinforcement Learning-Based Approach for Construction of Representative Drive Cycle Emission Test Cycles – FTP-75,

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:28:34.357367Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 6783f97b-0b7f-421a-bcdb-d8a2ac430044 · outbound

This paper cites Building a cycle for real driving emissions,.

A Generative Physics-Informed Reinforcement Learning-Based Approach for Construction of Representative Drive Cycle Building a cycle for real driving emissions,

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:28:33.807142Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 007bea08-5720-40df-a53f-5d20a67dbb67 · outbound

This paper cites Using real-world driving databases to generate driving cycles with equivalence properties,.

A Generative Physics-Informed Reinforcement Learning-Based Approach for Construction of Representative Drive Cycle Using real-world driving databases to generate driving cycles with equivalence properties,

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:28:33.987368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 76022c8b-64de-437b-9da0-6135756b9f90 · outbound

This paper cites Managing engineering systems with large state and action spaces through deep reinforcement learning,.

A Generative Physics-Informed Reinforcement Learning-Based Approach for Construction of Representative Drive Cycle Managing engineering systems with large state and action spaces through deep reinforcement learning,

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:28:33.498159Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 9247e9d8-e429-40a0-a7e9-6b7295322ad4 · outbound

This paper cites Landmark based shortest path detection by using A* and Haversine formula,.

A Generative Physics-Informed Reinforcement Learning-Based Approach for Construction of Representative Drive Cycle Landmark based shortest path detection by using A* and Haversine formula,

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:28:33.656932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 53b348a1-af30-42f1-9eb8-071996d18c31 · outbound

This paper cites General least-squares smoothing and differentiation by the convolution (Savitzky–Golay) method,.

A Generative Physics-Informed Reinforcement Learning-Based Approach for Construction of Representative Drive Cycle General least-squares smoothing and differentiation by the convolution (Savitzky–Golay) method,

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:28:33.189991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 7425c580-2631-4177-bfa1-e50573f1c485 · outbound

This paper cites Temporal difference learning and TD-Gammon,.

A Generative Physics-Informed Reinforcement Learning-Based Approach for Construction of Representative Drive Cycle Temporal difference learning and TD-Gammon,

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:28:33.351992Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation bed1df41-c32a-42c1-baf8-34b433053227 · outbound

This paper cites Reading and understanding continuous wavelet transforms,.

A Generative Physics-Informed Reinforcement Learning-Based Approach for Construction of Representative Drive Cycle Reading and understanding continuous wavelet transforms,

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:28:32.898131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 81d916e7-9995-4d17-a69e-bb6deb0a818e · outbound

This paper cites Energy consumption analysis and prediction of electric vehicles based on real-world driving data,.

A Generative Physics-Informed Reinforcement Learning-Based Approach for Construction of Representative Drive Cycle Energy consumption analysis and prediction of electric vehicles based on real-world driving data,

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:28:33.066296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 10ff8dee-f578-41b8-8abb-ff4b4cc5c5c5 · outbound

This paper cites Sensitive analysis of emission rates in MOVES for developing site-specific emission database,.

A Generative Physics-Informed Reinforcement Learning-Based Approach for Construction of Representative Drive Cycle Sensitive analysis of emission rates in MOVES for developing site-specific emission database,

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:28:32.607370Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 20d7ef56-c756-4130-b7b7-b74947ab41ee · outbound

This paper cites Methodology for developing modal emission rates for EPA multi-scale motor vehicle & equipment emission system,.

A Generative Physics-Informed Reinforcement Learning-Based Approach for Construction of Representative Drive Cycle Methodology for developing modal emission rates for EPA multi-scale motor vehicle & equipment emission system,

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:28:32.762666Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 11e4a32f-4565-430a-b98e-077c11eade25 · outbound

This paper cites What Is a Savitzky–Golay Filter? [Lecture Notes],.

A Generative Physics-Informed Reinforcement Learning-Based Approach for Construction of Representative Drive Cycle What Is a Savitzky–Golay Filter? [Lecture Notes],

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:28:32.465473Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d2ff6be8-da81-468b-af46-3f9eb81d3efa · outbound

This paper cites an unresolved cited work.

A Generative Physics-Informed Reinforcement Learning-Based Approach for Construction of Representative Drive Cycle Unresolved cited work

Reference 2024

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:28:42.083207Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Reference resolution

Outbound references

Pith citing papers