Paper Citation Record · LEDGER

Spatiotemporal Forecasting of Incidents and Congestion with Implications for Sustainable Traffic Control

As of 17 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 0 inbound Pith citation observations for arXiv:2509.25515.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2509.25515 v2

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-18T11:50:27.298728Z

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

34 of 34 outbound references displayed

verified exact5
verified fuzzy29
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 92fd994f-fc66-42d4-a9f0-0eb0554f89d1 · outbound

This paper cites Urban traffic congestion: Its causes-consequences-mitigation.

Spatiotemporal Forecasting of Incidents and Congestion with Implications for Sustainable Traffic Control Urban traffic congestion: Its causes-consequences-mitigation

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T11:51:20.512516Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1fd5636c-563b-4c54-9fc7-62b240d72052 · outbound

This paper cites Real-world CO 2 impacts of traffic congestion.

Spatiotemporal Forecasting of Incidents and Congestion with Implications for Sustainable Traffic Control Real-world CO 2 impacts of traffic congestion

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T11:51:20.508985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 68d8586c-7125-40e0-82f3-2228abf97344 · outbound

This paper cites A safety-prioritized receding horizon control framework for platoon formation in a mixed traffic environment.

Spatiotemporal Forecasting of Incidents and Congestion with Implications for Sustainable Traffic Control A safety-prioritized receding horizon control framework for platoon formation in a mixed traffic environment

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T11:51:20.449581Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ec13cb33-0206-4069-bcdf-aa892c5279ec · outbound

This paper cites Large-scale multi-fleet platoon coordination: A dynamic programming approach.

Spatiotemporal Forecasting of Incidents and Congestion with Implications for Sustainable Traffic Control Large-scale multi-fleet platoon coordination: A dynamic programming approach

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T11:51:20.445795Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e5164a4d-310a-444f-9b49-3a73ce77528a · outbound

This paper cites Approximate dynamic programming for platoon coordination under hours-of-service regulations.

Spatiotemporal Forecasting of Incidents and Congestion with Implications for Sustainable Traffic Control Approximate dynamic programming for platoon coordination under hours-of-service regulations

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T11:51:20.441747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 0501b42a-ee38-4ff2-b2b3-7abf2e4bb8b8 · outbound

This paper cites Stochastic time-optimal trajectory planning for connected and automated vehicles in mixed-traffic merging scenarios.

Spatiotemporal Forecasting of Incidents and Congestion with Implications for Sustainable Traffic Control Stochastic time-optimal trajectory planning for connected and automated vehicles in mixed-traffic merging scenarios

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T11:51:20.493196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ad6f7472-9481-4e55-b7c4-e9089375e319 · outbound

This paper cites Optimal path planning for connected and automated vehicles at urban intersections.

Spatiotemporal Forecasting of Incidents and Congestion with Implications for Sustainable Traffic Control Optimal path planning for connected and automated vehicles at urban intersections

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T11:51:20.519277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8f0d9f1b-e6d4-4414-9bc1-b45db7c3f458 · outbound

This paper cites Congestion-aware routing, rebalancing, and charging scheduling for electric autonomous mobility- on-demand system.

Spatiotemporal Forecasting of Incidents and Congestion with Implications for Sustainable Traffic Control Congestion-aware routing, rebalancing, and charging scheduling for electric autonomous mobility- on-demand system

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T11:51:20.515941Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e968fe28-2cb9-42c5-bd93-8ce7818d3e6c · outbound

This paper cites Routing Guidance for Emerging Transportation Systems with Improved Dynamic Trip Equity.

Spatiotemporal Forecasting of Incidents and Congestion with Implications for Sustainable Traffic Control Routing Guidance for Emerging Transportation Systems with Improved Dynamic Trip Equity

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-18T11:51:20.205658Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1ab4d656-191b-429d-8223-3ae8657b134f · outbound

This paper cites A closed-form analytical solution for optimal coordination of connected and automated vehicles.

Spatiotemporal Forecasting of Incidents and Congestion with Implications for Sustainable Traffic Control A closed-form analytical solution for optimal coordination of connected and automated vehicles

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T11:51:20.505441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c0386d25-f90a-43f7-99c6-8260c604b8df · outbound

This paper cites Optimal time trajectory and coordination for connected and automated vehicles.

Spatiotemporal Forecasting of Incidents and Congestion with Implications for Sustainable Traffic Control Optimal time trajectory and coordination for connected and automated vehicles

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T11:51:20.456634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2e0edb27-be4e-4961-83bc-f47cf4e5c5b0 · outbound

This paper cites A systematic review of traffic incident detection algorithms.

Spatiotemporal Forecasting of Incidents and Congestion with Implications for Sustainable Traffic Control A systematic review of traffic incident detection algorithms

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T11:51:20.478980Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation cf45fe24-7a1c-4130-b26f-c905a97b11d9 · outbound

This paper cites Comparative performance evaluation of incident detection algorithms.

Spatiotemporal Forecasting of Incidents and Congestion with Implications for Sustainable Traffic Control Comparative performance evaluation of incident detection algorithms

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T11:51:20.471756Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 97467211-4624-4b3e-80c1-d3b4824ff003 · outbound

This paper cites Anomaly detection in road networks using sliding-window tensor factorization.

Spatiotemporal Forecasting of Incidents and Congestion with Implications for Sustainable Traffic Control Anomaly detection in road networks using sliding-window tensor factorization

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T11:51:20.475438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d6625a92-1f45-46dd-bd5c-86d5b05d6cfe · outbound

This paper cites Prediction-based anomaly detection method for traffic flow.

Spatiotemporal Forecasting of Incidents and Congestion with Implications for Sustainable Traffic Control Prediction-based anomaly detection method for traffic flow

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T11:51:20.438129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 737d63a2-de5b-41a9-bcd2-dbf4d87ffa52 · outbound

This paper cites Traffic anomaly detection in intelligent transport applications with time series data using informer.

Spatiotemporal Forecasting of Incidents and Congestion with Implications for Sustainable Traffic Control Traffic anomaly detection in intelligent transport applications with time series data using informer

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T11:51:20.482179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 15b835c8-db77-424b-9b02-dbebbfa8d2b8 · outbound

This paper cites Urban Anomaly Analytics: Description, Detection, and Prediction.

Spatiotemporal Forecasting of Incidents and Congestion with Implications for Sustainable Traffic Control Urban Anomaly Analytics: Description, Detection, and Prediction

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-18T11:51:20.211154Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 52570e66-afa4-4f19-a331-fcf61f4c630a · outbound

This paper cites Traffic anomaly detection in intelligent transport applications with time series data using informer.

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T11:51:20.525909Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 02e6119f-491c-4f49-b273-62c73d06ad22 · outbound

This paper cites Anomaly detection in traffic surveillance videos using deep learning.

Spatiotemporal Forecasting of Incidents and Congestion with Implications for Sustainable Traffic Control Anomaly detection in traffic surveillance videos using deep learning

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T11:51:20.434238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1fef1fa6-3f38-444e-abcb-c9d46219ef14 · outbound

This paper cites Traffic anomaly detection and video summarization using spatio-temporal rough fuzzy granulation with z-numbers.

Spatiotemporal Forecasting of Incidents and Congestion with Implications for Sustainable Traffic Control Traffic anomaly detection and video summarization using spatio-temporal rough fuzzy granulation with z-numbers

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T11:51:20.522575Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f8eaf87e-eeaf-48e0-a7c1-7fb05c771172 · outbound

This paper cites Deep bilstm attention model for spatial and temporal anomaly detection in video surveillance.

Spatiotemporal Forecasting of Incidents and Congestion with Implications for Sustainable Traffic Control Deep bilstm attention model for spatial and temporal anomaly detection in video surveillance

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T11:51:20.468570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a2f6ca81-41ce-4506-9e98-98f9b8200fda · outbound

This paper cites Pedestrian abnormal behavior detection system using edge–server architecture for large–scale CCTV environments.

Spatiotemporal Forecasting of Incidents and Congestion with Implications for Sustainable Traffic Control Pedestrian abnormal behavior detection system using edge–server architecture for large–scale CCTV environments

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T11:51:20.430327Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation fe007967-cfd9-4365-8a34-4d6a54938bd0 · outbound

This paper cites Federated variational learning for anomaly detection in multivariate time series.

Spatiotemporal Forecasting of Incidents and Congestion with Implications for Sustainable Traffic Control Federated variational learning for anomaly detection in multivariate time series

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T11:51:20.488828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3c02e1f4-18c0-4198-8984-de28dc581186 · outbound

This paper cites Unsupervised anomaly detection for iot-based multivariate time series.

Spatiotemporal Forecasting of Incidents and Congestion with Implications for Sustainable Traffic Control Unsupervised anomaly detection for iot-based multivariate time series

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T11:51:20.453067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ee47e297-5089-4d97-92c9-a7d38e063bd2 · outbound

This paper cites Unsupervised anomaly detection for cars can sensors time series.

Spatiotemporal Forecasting of Incidents and Congestion with Implications for Sustainable Traffic Control Unsupervised anomaly detection for cars can sensors time series

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T11:51:20.464975Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 0dcfb253-e07d-4798-a4d7-2d8e00d7e197 · outbound

This paper cites MST-GAT: A Multimodal Spatial-Temporal Graph Attention Network for Time Series Anomaly Detection.

Spatiotemporal Forecasting of Incidents and Congestion with Implications for Sustainable Traffic Control MST-GAT: A Multimodal Spatial-Temporal Graph Attention Network for Time Series Anomaly Detection

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-05-18T11:51:20.226451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a19ad396-e04d-484a-8c86-9427c114af34 · outbound

This paper cites DACAD: Domain adaptation contrastive learning for anomaly detection in multivariate time series.

Spatiotemporal Forecasting of Incidents and Congestion with Implications for Sustainable Traffic Control DACAD: Domain adaptation contrastive learning for anomaly detection in multivariate time series

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T11:51:20.502244Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2fa30824-6e8f-4132-b968-123e13b0d417 · outbound

This paper cites A survey on vehicular traffic flow anomaly detection using machine learning.

Spatiotemporal Forecasting of Incidents and Congestion with Implications for Sustainable Traffic Control A survey on vehicular traffic flow anomaly detection using machine learning

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T11:51:20.499089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e35fa62a-f695-45cb-845c-6e9621edaff6 · outbound

This paper cites Urban anomaly analytics: Description, detection, and prediction.

Spatiotemporal Forecasting of Incidents and Congestion with Implications for Sustainable Traffic Control Urban anomaly analytics: Description, detection, and prediction

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-18T11:51:20.216572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 17c4edc7-d608-4a9e-a65d-8c689e2a63af · outbound

This paper cites History-based road traffic anomaly detection using deep learning and real-world data.

Spatiotemporal Forecasting of Incidents and Congestion with Implications for Sustainable Traffic Control History-based road traffic anomaly detection using deep learning and real-world data

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T11:51:20.528755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e83624ff-07f6-4f88-9e50-42c4eb10ad69 · outbound

This paper cites Estimating congestion zones and travel time indexes based on floating car data.

Spatiotemporal Forecasting of Incidents and Congestion with Implications for Sustainable Traffic Control Estimating congestion zones and travel time indexes based on floating car data

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T11:51:20.485506Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 6654b67e-b495-41b2-bf62-32e5995f1a4f · outbound

This paper cites Diffusion convolutional recurrent neural network: Data-driven traffic forecasting.

Spatiotemporal Forecasting of Incidents and Congestion with Implications for Sustainable Traffic Control Diffusion convolutional recurrent neural network: Data-driven traffic forecasting

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T11:51:20.496201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 23a9a928-034c-4427-a52d-1c2c03cd436a · outbound

This paper cites Second generation of pollutant emission models for SUMO.

Spatiotemporal Forecasting of Incidents and Congestion with Implications for Sustainable Traffic Control Second generation of pollutant emission models for SUMO

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T11:51:20.460066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f00db88c-4abb-4365-9871-20d04c69a117 · outbound

This paper cites Worst-Case Control and Learning Using Partial Observations Over an Infinite Time-Horizon.

Spatiotemporal Forecasting of Incidents and Congestion with Implications for Sustainable Traffic Control Worst-Case Control and Learning Using Partial Observations Over an Infinite Time-Horizon

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-05-18T11:51:20.221503Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Pith citing papers

No inbound Pith citation observations are available.