TP-SG: Global Synthetic Vehicular Trip Data for 15 Large-Scale Cities

A 178.5 MB synthetic dataset released in May 2026 by Xiaolong Xie for multi-city traffic analysis. It includes 15 generated city cases and an application case for Shanghai Jiading, providing TAZ-level matrices, zonal records, and route files. The data is intended for origin-destination estimation, route assignment, and reproducible traffic simulation.

Use Cases

• Generate multi-city origin-destination demand based on provided TAZ-level OD matrices.
• Construct and analyze bounded-rational vehicle routes based on the provided SUMO route files.
• Perform network-loading and link-flow prediction analysis using the cost matrices and route manifests.
• Conduct traffic-control experiments using the synthetic city cases and associated metadata.
• Study cross-city transferability of traffic models using the 15 generated city cases.

Strengths

• Includes 15 distinct synthetic city cases for cross-city analysis.
• Provides a specific application case for Shanghai Jiading for real-world validation.
• Contains multiple data components (OD matrices, cost matrices, route files, POI descriptors) for comprehensive simulation.
• Released under a permissive CC-BY-4.0 license and is 178.5 MB in size.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for specific modeling tasks.
• Data is synthetic, which may not fully capture the complexity of real-world traffic patterns.

Provenance

Source

figshare

Collection Method

Synthetically generated for multi-city OD demand generation and traffic simulation.

Time Range

Synthetic data; no real-world temporal coverage specified.

Freshness

Last updated 2026-05-12 18:44:42.

Geography

Global, with 15 generated large-scale city cases and a specific case for Shanghai Jiading, China.