{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2023:LOWRGC6X52VYU6HPFERH5KPQVJ","short_pith_number":"pith:LOWRGC6X","schema_version":"1.0","canonical_sha256":"5bad130bd7eeab8a78ef29227ea9f0aa7d7f7ec50dd2ec544a348e4cdf506fcd","source":{"kind":"arxiv","id":"2306.01687","version":2},"attestation_state":"computed","paper":{"title":"Load Asymptotics and Dynamic Speed Optimization for the Greenest Path Problem: A Comprehensive Analysis","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["econ.EM"],"primary_cat":"math.OC","authors_text":"Joachim Arts, Josu\\'e C. Vel\\'azquez-Mart\\'inez, Poulad Moradi","submitted_at":"2023-06-02T17:02:25Z","abstract_excerpt":"We study the effect of using high-resolution elevation data on the selection of the most fuel-efficient(greenest) path for different trucks in various urban environments.We adapt a variant of the Comprehensive Modal Emission Model(CMEM) to show that the optimal speed and the greenest path are slope dependent (dynamic).When there are no elevation changes in a road network, the most fuel-efficient path is the shortest path with a constant (static) optimal speed throughout.However, if the network is not flat, then the shortest path is not necessarily the greenest path, and the optimal driving spe"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2306.01687","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"math.OC","submitted_at":"2023-06-02T17:02:25Z","cross_cats_sorted":["econ.EM"],"title_canon_sha256":"aabf561078e74743300e191c9f83b21ab9cd6e33cf8421213c4da4cc6e7c8858","abstract_canon_sha256":"63f2944120a0532ced451a677b1daae5889ee73ddbee91c7fda95cd7edb82dfb"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:13:05.275108Z","signature_b64":"lT6Q4XcMbU6qgzAGObeJN/Ti0lLZf5WkggUbj2dCoHkq+WxQ8lg9zCQD5r31Xs9QAUYlrz/TmFZYeSDKYvKnBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"5bad130bd7eeab8a78ef29227ea9f0aa7d7f7ec50dd2ec544a348e4cdf506fcd","last_reissued_at":"2026-07-05T11:13:05.274593Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:13:05.274593Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Load Asymptotics and Dynamic Speed Optimization for the Greenest Path Problem: A Comprehensive Analysis","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["econ.EM"],"primary_cat":"math.OC","authors_text":"Joachim Arts, Josu\\'e C. Vel\\'azquez-Mart\\'inez, Poulad Moradi","submitted_at":"2023-06-02T17:02:25Z","abstract_excerpt":"We study the effect of using high-resolution elevation data on the selection of the most fuel-efficient(greenest) path for different trucks in various urban environments.We adapt a variant of the Comprehensive Modal Emission Model(CMEM) to show that the optimal speed and the greenest path are slope dependent (dynamic).When there are no elevation changes in a road network, the most fuel-efficient path is the shortest path with a constant (static) optimal speed throughout.However, if the network is not flat, then the shortest path is not necessarily the greenest path, and the optimal driving spe"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2306.01687","kind":"arxiv","version":2},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2306.01687/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"aliases":[{"alias_kind":"arxiv","alias_value":"2306.01687","created_at":"2026-07-05T11:13:05.274656+00:00"},{"alias_kind":"arxiv_version","alias_value":"2306.01687v2","created_at":"2026-07-05T11:13:05.274656+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2306.01687","created_at":"2026-07-05T11:13:05.274656+00:00"},{"alias_kind":"pith_short_12","alias_value":"LOWRGC6X52VY","created_at":"2026-07-05T11:13:05.274656+00:00"},{"alias_kind":"pith_short_16","alias_value":"LOWRGC6X52VYU6HP","created_at":"2026-07-05T11:13:05.274656+00:00"},{"alias_kind":"pith_short_8","alias_value":"LOWRGC6X","created_at":"2026-07-05T11:13:05.274656+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/LOWRGC6X52VYU6HPFERH5KPQVJ","json":"https://pith.science/pith/LOWRGC6X52VYU6HPFERH5KPQVJ.json","graph_json":"https://pith.science/api/pith-number/LOWRGC6X52VYU6HPFERH5KPQVJ/graph.json","events_json":"https://pith.science/api/pith-number/LOWRGC6X52VYU6HPFERH5KPQVJ/events.json","paper":"https://pith.science/paper/LOWRGC6X"},"agent_actions":{"view_html":"https://pith.science/pith/LOWRGC6X52VYU6HPFERH5KPQVJ","download_json":"https://pith.science/pith/LOWRGC6X52VYU6HPFERH5KPQVJ.json","view_paper":"https://pith.science/paper/LOWRGC6X","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2306.01687&json=true","fetch_graph":"https://pith.science/api/pith-number/LOWRGC6X52VYU6HPFERH5KPQVJ/graph.json","fetch_events":"https://pith.science/api/pith-number/LOWRGC6X52VYU6HPFERH5KPQVJ/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/LOWRGC6X52VYU6HPFERH5KPQVJ/action/timestamp_anchor","attest_storage":"https://pith.science/pith/LOWRGC6X52VYU6HPFERH5KPQVJ/action/storage_attestation","attest_author":"https://pith.science/pith/LOWRGC6X52VYU6HPFERH5KPQVJ/action/author_attestation","sign_citation":"https://pith.science/pith/LOWRGC6X52VYU6HPFERH5KPQVJ/action/citation_signature","submit_replication":"https://pith.science/pith/LOWRGC6X52VYU6HPFERH5KPQVJ/action/replication_record"}},"created_at":"2026-07-05T11:13:05.274656+00:00","updated_at":"2026-07-05T11:13:05.274656+00:00"}