原文传递
Trajectory-Based Signal Control in Mixed Connected Vehicle Environments
| 题名： | Trajectory-Based Signal Control in Mixed Connected Vehicle Environments |
| 正文语种： | eng |
| 作者： | Talukder, Md Abu Sufian;Lidbe, Abhay D.;Tedla, Elsa G.;Hainen, Alexander M.;Atkison, Travis |
| 作者单位： | Univ Alabama Dept Civil Construct & Environm Engn POB 870288 Tuscaloosa AL 35487 USA;Univ Alabama Alabama Transportat Inst POB 870288 Tuscaloosa AL 35487 USA;Univ Alabama Alabama Transportat Inst POB 870288 Tuscaloosa AL 35487 USA;Univ Alabama Dept Civil Construct & Environm Engn POB 870288 Tuscaloosa AL 35487 USA;Univ Alabama Dept Comp Sci POB 870290 Tuscaloosa AL 35487 USA |
| 关键词： | Connected vehicle;Traffic signal control;V2I;Trajectory data;Signal control algorithm |
| 摘要： | The emerging connected vehicle (CV) technology has introduced the opportunity to improve traditional traffic signal operation. Real-time vehicle trajectory information (location, speed, and heading) from CV technology can provide information about the nearby traffic conditions which potentially can be utilized for enhanced traffic signal control operation. However, implementation of CV technology still is impractical due to the lower penetration rate of CV-enabled vehicles on the road and the limited deployment of vehicle-to-infrastructure (V2I) communications. This paper developed an approach to use vehicle trajectory data with traditional traffic signal controllers to improve intersection operational performance, even with the limited use or absence of V2I communications. Two signal control algorithms, the delay-based algorithm (DBA) and the weighted delay-based algorithm (WDBA), were developed to demonstrate delay optimization at a signalized intersection. The intersection was modeled in Vissim microsimulation, and simulation scenarios were tested for various traffic demands. Analysis results showed that both proposed algorithms outperformed existing free timing operation, and statistically significant improvement was observed in terms of vehicle delay, stop delay, and queue length. |
| 出版年： | 2021 |
| 期刊名称： | Journal of Transportation Engineering |
| 卷： | 147 |
| 期： | 5 |
相关文献
- A dynamic optimization method for adaptive signal control in a connected vehicle environment
- Dynamic Multipath Signal Progression Control Based on Connected Vehicle Technology
- Consensus-Based Control Strategy for Mixed Platoon under Delayed V2X Environment
- A joint control model for connected vehicle platoon and arterial signal coordination
- Development of an Adaptive Traffic Signal Control Framework for Urban Signalized Interchanges Based on Infrastructure Detectors and CAV Technologies
- String Stability Analysis of Connected Vehicular Systems Based on Car-Following Model
检索历史
应用推荐
