The aim of this repository is to offering comprehensive dataset, simulator, relevant papers and survey to anyone who may wish to start investigation or evaluate a new algorithm.
We provide different traffic datasets, each includes both road network (roadnet.json) and traffic flow file (flow.json), whose formats are defined in Roadnet File Format and Flow File Format respectively.
*All methods are measured in Average Travel Time (in seconds) under CityFlow simulator.
| # | Dataset name | Number of Intersections | Time Span (Seconds) | Description | Referred result* | Referred method |
|---|---|---|---|---|---|---|
| 1 | hangzhou_1x1_bc-tyc_18041607_1h | 1 | 3600 | These datasets are based on camera data in Hangzhou. Due to the lack of records about turning vehicles, the turning ratios of each dataset are fixed, with 10% as turning left, 60% as going straight, and 30% as turning right. The turning-right vehicles are discarded since they are not under the control of traffic lights. There are one left-turn lane and one straight lane in each direction in each roadnet. | 221.03 | SOTL |
| 2 | hangzhou_1x1_bc-tyc_18041608_1h | 1 | 3600 | 334.72 | SOTL | |
| 3 | hangzhou_1x1_bc-tyc_18041610_1h | 1 | 3600 | 213.20 | SOTL | |
| 4 | hangzhou_1x1_kn-hz_18041607_1h | 1 | 3600 | 72.48 | SOTL | |
| 5 | hangzhou_1x1_kn-hz_18041608_1h | 1 | 3600 | 64.10 | SOTL | |
| 6 | hangzhou_1x1_qc-yn_18041607_1h | 1 | 3600 | 117.24 | SOTL | |
| 7 | hangzhou_1x1_qc-yn_18041608_1h | 1 | 3600 | 131.99 | SOTL | |
| 8 | hangzhou_1x1_sb-sx_18041607_1h | 1 | 3600 | 173.85 | SOTL | |
| 9 | hangzhou_1x1_sb-sx_18041608_1h | 1 | 3600 | 290.00 | SOTL | |
| 10 | hangzhou_1x1_tms-xy_18041607_1h | 1 | 3600 | 214.77 | SOTL | |
| 11 | hangzhou_1x1_tms-xy_18041608_1h | 1 | 3600 | 325.32 | SOTL | |
| 12 | syn_1x1_uniform_200_1h | 1 | 3600 | These datasets are generated artificially. The vehicles enter the road network uniformly with a fixed entering ratio chosen from 200, 400 and 600 vehicles per hour. | 61.44 | SOTL |
| 13 | syn_1x1_uniform_400_1h | 1 | 3600 | 133.40 | SOTL | |
| 14 | syn_1x1_uniform_600_1h | 1 | 3600 | 189.11 | SOTL | |
| 15 | hangzhou_4x4_gudang_18010207_1h | 16 | 3600 | The road network contains 16 intersections in a 4x4 grid. Each intersection has four incoming approaches and four outgping approaches, and each approach has three lanes (left-turn, through and right-turn respectively). The traffic flow data is based on camera data in Hangzhou. Necessary simplification is done due to the low quality of the real-world data. • Traffic volume: the traffic volume is derived from camera data at Hangzhou. • Turning ratio: 10% (turning left), 60%(going straight) and 30% (turning right). This is synthesized from the statistics of taxi GPS data. | 240.97 | MaxPressure |
| 16 | syn_1x3_gaussian_500_1h | 3 | 3600 | The road network contains 16 intersections in a 4x4 grid. Each intersection has four incoming approaches and four outgping approaches, and each approach has three lanes (left-turn, through and right-turn respectively). • Traffic volume: All the vehicles enter and leave the network from the rim edges.For each entering edge, the number of the vehicles generated is sampled from a Gaussian distribution with mean as 500 vehicles/hour/lane. • Turning ratio: 10% (turning left), 60%(going straight) and 30% (turning right) | 422.95 | MaxPressure |
| 17 | syn_2x2_gaussian_500_1h | 4 | 3600 | 477.71 | MaxPressure | |
| 18 | syn_3x3_gaussian_500_1h | 9 | 3600 | 631.75 | MaxPressure | |
| 19 | syn_4x4_gaussian_500_1h | 16 | 3600 | 689.68 | MaxPressure | |
| 20 | Manhattan | 2510 | 3600 |
A Survey on traffic signal control
- Zhenhui Jessie Li (Associate professor, Penn State)
- Hua Wei (PhD, Penn State University)
- Guanjie Zheng (PhD, Penn State University)
- Chacha Chen (PhD, Penn State University)
- Nan Xu (PhD, University of Southern California)
- Yuanhao Xiong (PhD, University of Los Angelos)
- Kan Wu (PhD, Penn State University)
- Xinshi Zang (Bachelor, Shanghai Jiao Tong University)
- Huichu Zhang (PhD, Shanghai Jiao Tong University)
- Jie Feng (PhD, Tsinghua University)
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