Exploiting Real-time Traffic Light Scheduling with Taxi Traces
文献类型：会议论文
| 作者 | Zongjian He; Daqiang Zhang; Jiannong Cao; Xuefeng Liu; Xiaopeng Fan; Chengzhong Xu |
| 出版日期 | 2016 |
| 会议名称 | the 45th International Conference on Parallel Processing (ICPP 2016) |
| 会议地点 | 美国，费城 |
| 英文摘要 | Traffic lights in urban area can significantly influence the efficiency and effectiveness of transportation. The realtime scheduling information of traffic lights is fundamentally important for many intelligent transportation applications, such as shortest-time navigation and green driving advisory. However, existing traffic light scheduling identification systems either entail dedicated infrastructures or depend on specialized traffic traces, which hinders the popularity and real world deployment. Differently, we propose to identify real-time traffic light scheduling by analyzing taxi traces that are widely accessible from taxi companies. The key idea is to exploit the periodicity in traffic patterns, which is directly affected by traffic lights. We also develop advanced algorithms to identify red/green lights duration and signal change time. We evaluate our solution using over one billion taxi records from Shenzhen, China. The evaluation results validate the effectiveness of our system. |
| 收录类别 | EI |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/10323]  |
| 专题 | 深圳先进技术研究院_数字所 |
| 作者单位 | 2016 |
| 推荐引用方式 GB/T 7714 | Zongjian He,Daqiang Zhang,Jiannong Cao,et al. Exploiting Real-time Traffic Light Scheduling with Taxi Traces[C]. 见:the 45th International Conference on Parallel Processing (ICPP 2016). 美国，费城. |
入库方式： OAI收割
来源：深圳先进技术研究院
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