{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2017:2EM3X5JXIHWPZC7URYEYSUZCL6","short_pith_number":"pith:2EM3X5JX","schema_version":"1.0","canonical_sha256":"d119bbf53741ecfc8bf48e098953225fb9f7b7bc46e8ba318a7bd5ba837714a4","source":{"kind":"arxiv","id":"1708.03759","version":1},"attestation_state":"computed","paper":{"title":"The Accuracy of Cell-based Dynamic Traffic Assignment: Impact of Signal Control on System Optimality","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["math.OC"],"primary_cat":"cs.SY","authors_text":"Dong Ngoduy, Hai L. Vu, Manoj Panda, Nam Hoang, Tarikul Islam","submitted_at":"2017-08-12T09:47:35Z","abstract_excerpt":"Dynamic Traffic Assignment (DTA) provides an approach to determine the optimal path and/or departure time based on the transportation network characteristics and user behavior (e.g., selfish or social). In the literature, most of the contributions study DTA problems without including traffic signal control in the framework. The few contributions that report signal control models are either mixed-integer or nonlinear formulations and computationally intractable. The only continuous linear signal control method presented in the literature is the Cycle-length Same as Discrete Time-interval (CSDT)"},"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":"1708.03759","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SY","submitted_at":"2017-08-12T09:47:35Z","cross_cats_sorted":["math.OC"],"title_canon_sha256":"a991f73368f5957abfa5638e1d6d6a002792f5ac4b878224bb057faaa8b02fc0","abstract_canon_sha256":"4248db63da3b2d279010fc7cd1cea57e25d49ea6bf32848a865e756ae0cd6174"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:38:08.004493Z","signature_b64":"3ecsOqJ18k3FL2H5oDlHxboXEJeuZrHFguYpUuNMOzmFmptptgYg/1ZJOCvlJZjlTBpVFozRrFgkwATT2IVICA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d119bbf53741ecfc8bf48e098953225fb9f7b7bc46e8ba318a7bd5ba837714a4","last_reissued_at":"2026-05-18T00:38:08.004050Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:38:08.004050Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"The Accuracy of Cell-based Dynamic Traffic Assignment: Impact of Signal Control on System Optimality","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["math.OC"],"primary_cat":"cs.SY","authors_text":"Dong Ngoduy, Hai L. Vu, Manoj Panda, Nam Hoang, Tarikul Islam","submitted_at":"2017-08-12T09:47:35Z","abstract_excerpt":"Dynamic Traffic Assignment (DTA) provides an approach to determine the optimal path and/or departure time based on the transportation network characteristics and user behavior (e.g., selfish or social). In the literature, most of the contributions study DTA problems without including traffic signal control in the framework. The few contributions that report signal control models are either mixed-integer or nonlinear formulations and computationally intractable. The only continuous linear signal control method presented in the literature is the Cycle-length Same as Discrete Time-interval (CSDT)"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1708.03759","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"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":"1708.03759","created_at":"2026-05-18T00:38:08.004123+00:00"},{"alias_kind":"arxiv_version","alias_value":"1708.03759v1","created_at":"2026-05-18T00:38:08.004123+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1708.03759","created_at":"2026-05-18T00:38:08.004123+00:00"},{"alias_kind":"pith_short_12","alias_value":"2EM3X5JXIHWP","created_at":"2026-05-18T12:30:55.937587+00:00"},{"alias_kind":"pith_short_16","alias_value":"2EM3X5JXIHWPZC7U","created_at":"2026-05-18T12:30:55.937587+00:00"},{"alias_kind":"pith_short_8","alias_value":"2EM3X5JX","created_at":"2026-05-18T12:30:55.937587+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/2EM3X5JXIHWPZC7URYEYSUZCL6","json":"https://pith.science/pith/2EM3X5JXIHWPZC7URYEYSUZCL6.json","graph_json":"https://pith.science/api/pith-number/2EM3X5JXIHWPZC7URYEYSUZCL6/graph.json","events_json":"https://pith.science/api/pith-number/2EM3X5JXIHWPZC7URYEYSUZCL6/events.json","paper":"https://pith.science/paper/2EM3X5JX"},"agent_actions":{"view_html":"https://pith.science/pith/2EM3X5JXIHWPZC7URYEYSUZCL6","download_json":"https://pith.science/pith/2EM3X5JXIHWPZC7URYEYSUZCL6.json","view_paper":"https://pith.science/paper/2EM3X5JX","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1708.03759&json=true","fetch_graph":"https://pith.science/api/pith-number/2EM3X5JXIHWPZC7URYEYSUZCL6/graph.json","fetch_events":"https://pith.science/api/pith-number/2EM3X5JXIHWPZC7URYEYSUZCL6/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/2EM3X5JXIHWPZC7URYEYSUZCL6/action/timestamp_anchor","attest_storage":"https://pith.science/pith/2EM3X5JXIHWPZC7URYEYSUZCL6/action/storage_attestation","attest_author":"https://pith.science/pith/2EM3X5JXIHWPZC7URYEYSUZCL6/action/author_attestation","sign_citation":"https://pith.science/pith/2EM3X5JXIHWPZC7URYEYSUZCL6/action/citation_signature","submit_replication":"https://pith.science/pith/2EM3X5JXIHWPZC7URYEYSUZCL6/action/replication_record"}},"created_at":"2026-05-18T00:38:08.004123+00:00","updated_at":"2026-05-18T00:38:08.004123+00:00"}