Public Dataset
A dataset for studying the interaction behavior of vehicles and pedestrians in complex scenarios. Contains trajectory data in multiple scenarios, useful for autonomous driving system development.
NeurIPS 2022 Traffic4cast Competition
A competition aiming to predict traffic flow, where participants use historical traffic data to predict future traffic conditions.
This project implements the Diffusion Convolutional Recurrent Neural Network in TensorFlow, primarily for traffic prediction.
Shanghai Intersections Trajectory Dataset
Contains mixed traffic trajectory data from Shanghai intersections.
This includes two datasets, the VED (Vehicle Energy Dataset) and the Charging Station Dataset. The VED dataset captures GPS trajectories of vehicles along with detailed parameters like fuel, energy, speed, and auxiliary power usage. The Charging Station Dataset provides comprehensive data on charging stations, including locations, number of charging piles, fees, and operating hours.
A large-scale traffic dataset from over 23541 stationary detectors on urban roads in 40 cities worldwide making it the largest multi-city traffic dataset publically available.
The CitySim Dataset is a specialized vehicle trajectory dataset designed to support safety-oriented research and applications. It offers highly accurate, fine-grained vehicle trajectories derived from 1140 minutes of drone-recorded video at 30 frames per second across 12 diverse locations, with ongoing expansions. The dataset includes a range of road geometries like freeway segments, expressway merge/diverge areas, and various types of intersections.
Meituan-INFORMS-TSL-Research-Challenge Dataset
The data comes from the TSL Data-Driven Research Challenge. In the first INFORMS TSL Data-Driven Research Challenge, TSL collaborated with Meituan to provide global researchers and practitioners access to Meituan’s operational-level food delivery data.
Dataset Collected by Lab
Shanghai Mobike Bike Sharing Dataset
These datasets provide detailed information on bike sharing services, including bike IDs, user IDs, start and end times, GPS coordinates for start and end locations, and tracks in Shanghai from August 1, 2016, to September 1, 2016.
Xiamen Bike Sharing Dataset
These datasets provide detailed information on Xia men bike sharing services, including company and bicycle IDs, GPS data, lock status, Timestamp, in Xiamen.
Ride Sourcing Dataset
Contains the Haikou Ridesouring Dataset, which offers comprehensive data on ride-sourcing services in Haikou from May 1, 2017, to October 31, 2017. This dataset includes origin and destination information, departure and arrival times, trip duration, estimated costs, and total distance of trips.
Traffic Measurement Data
Presents the TTI (Travel Time Index) data of six major cities in China, detailing minute-precision travel times and speeds on arterial roads. It covers city-level, district-level, and road-level data. The section includes visual representations of road networks and TTI illustrations.
TTI Dataset of Road Sections around North Shenzhen Railway Station
This dataset is divided into two parts: a 10-minute interval TTI of 12 road sections around the North Shenzhen Railway Station, and ride-sourcing orders in the same area, with GPS records updated every 30 seconds. The time span is from January 2019 to March 2019 and October 2019 to December 20, 2019.