{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2015:YOYU2CDKDR7ZEBCNHWXCSCDPIN","short_pith_number":"pith:YOYU2CDK","schema_version":"1.0","canonical_sha256":"c3b14d086a1c7f92044d3dae29086f435c01c535e1e7725b1b01210c23ee8455","source":{"kind":"arxiv","id":"1511.04810","version":1},"attestation_state":"computed","paper":{"title":"Parsimonious shooting heuristic for trajectory control of connected automated traffic part I: Theoretical analysis with generalized time geography","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.SY"],"primary_cat":"math.OC","authors_text":"Fang Zhou, Jiaqi Ma, Xiaopeng Li","submitted_at":"2015-11-16T03:34:29Z","abstract_excerpt":"This paper studies a problem of controlling trajectories of a platoon of vehicles on a highway segment with connected and automated vehicles. This problem is complex because each vehicle trajectory is an infinite-dimensional object and neighboring trajectories have complex interactions (e.g., car-following behavior). A parsimonious shooting heuristic algorithm is proposed to construct vehicle trajectories on a signalized highway segment that comply with boundary conditions for vehicle arrivals, vehicle mechanical limits, traffic lights and vehicle following safety. This algorithm breaks each v"},"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":"1511.04810","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.OC","submitted_at":"2015-11-16T03:34:29Z","cross_cats_sorted":["cs.SY"],"title_canon_sha256":"b441e1d0858b96b846cc056bd8244220e7eaf901e14465b5202cd1a473c40fdc","abstract_canon_sha256":"eaefde04bcb21bb2754171aa9447a7b4f60cf347a7d03f6b06c5bb1eeb158969"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:26:51.580737Z","signature_b64":"+UdAZf5tdupeqstu7opG79U1HVd0hsaNFltOrV/7gpVep0uHcAWAgGGiTpd6AQuwRZ3cVp3FDxe9u6zGn4maDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c3b14d086a1c7f92044d3dae29086f435c01c535e1e7725b1b01210c23ee8455","last_reissued_at":"2026-05-18T01:26:51.580125Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:26:51.580125Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Parsimonious shooting heuristic for trajectory control of connected automated traffic part I: Theoretical analysis with generalized time geography","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.SY"],"primary_cat":"math.OC","authors_text":"Fang Zhou, Jiaqi Ma, Xiaopeng Li","submitted_at":"2015-11-16T03:34:29Z","abstract_excerpt":"This paper studies a problem of controlling trajectories of a platoon of vehicles on a highway segment with connected and automated vehicles. This problem is complex because each vehicle trajectory is an infinite-dimensional object and neighboring trajectories have complex interactions (e.g., car-following behavior). A parsimonious shooting heuristic algorithm is proposed to construct vehicle trajectories on a signalized highway segment that comply with boundary conditions for vehicle arrivals, vehicle mechanical limits, traffic lights and vehicle following safety. This algorithm breaks each v"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1511.04810","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":"1511.04810","created_at":"2026-05-18T01:26:51.580242+00:00"},{"alias_kind":"arxiv_version","alias_value":"1511.04810v1","created_at":"2026-05-18T01:26:51.580242+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1511.04810","created_at":"2026-05-18T01:26:51.580242+00:00"},{"alias_kind":"pith_short_12","alias_value":"YOYU2CDKDR7Z","created_at":"2026-05-18T12:29:50.041715+00:00"},{"alias_kind":"pith_short_16","alias_value":"YOYU2CDKDR7ZEBCN","created_at":"2026-05-18T12:29:50.041715+00:00"},{"alias_kind":"pith_short_8","alias_value":"YOYU2CDK","created_at":"2026-05-18T12:29:50.041715+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/YOYU2CDKDR7ZEBCNHWXCSCDPIN","json":"https://pith.science/pith/YOYU2CDKDR7ZEBCNHWXCSCDPIN.json","graph_json":"https://pith.science/api/pith-number/YOYU2CDKDR7ZEBCNHWXCSCDPIN/graph.json","events_json":"https://pith.science/api/pith-number/YOYU2CDKDR7ZEBCNHWXCSCDPIN/events.json","paper":"https://pith.science/paper/YOYU2CDK"},"agent_actions":{"view_html":"https://pith.science/pith/YOYU2CDKDR7ZEBCNHWXCSCDPIN","download_json":"https://pith.science/pith/YOYU2CDKDR7ZEBCNHWXCSCDPIN.json","view_paper":"https://pith.science/paper/YOYU2CDK","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1511.04810&json=true","fetch_graph":"https://pith.science/api/pith-number/YOYU2CDKDR7ZEBCNHWXCSCDPIN/graph.json","fetch_events":"https://pith.science/api/pith-number/YOYU2CDKDR7ZEBCNHWXCSCDPIN/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/YOYU2CDKDR7ZEBCNHWXCSCDPIN/action/timestamp_anchor","attest_storage":"https://pith.science/pith/YOYU2CDKDR7ZEBCNHWXCSCDPIN/action/storage_attestation","attest_author":"https://pith.science/pith/YOYU2CDKDR7ZEBCNHWXCSCDPIN/action/author_attestation","sign_citation":"https://pith.science/pith/YOYU2CDKDR7ZEBCNHWXCSCDPIN/action/citation_signature","submit_replication":"https://pith.science/pith/YOYU2CDKDR7ZEBCNHWXCSCDPIN/action/replication_record"}},"created_at":"2026-05-18T01:26:51.580242+00:00","updated_at":"2026-05-18T01:26:51.580242+00:00"}