使用LiDAR衍生的轨迹数据测量车辆和行人交通信号的性能
Enrique D Saldivar-Carranza1, Jairaj Desai1, Andrew Thompson1
1Joint Transportation Research Program, Lyles School of Civil and Construction Engineering, Purdue University, West Lafayette, IN 47907, USA.
Sensors (Basel, Switzerland)
|October 16, 2024
概括
激光雷达传感器在十字路口准确地跟踪车辆和行人,从而实现实时交通信号性能分析. 这项技术为行人运动提供了新的见解,有可能改善交通信号定时.
科学领域:
- 运输工程 运输工程
- 交通流分析 流量分析
- 传感器技术 传感器技术
背景情况:
- 信号交叉点是运输网络中的关键节点.
- 传统的交通数据收集方法在准确性和范围上都有局限性.
- 光探测和测距 (LiDAR) 提供了高分辨率的对象跟踪功能.
研究的目的:
- 开发和验证使用LiDAR数据估计交通信号性能指标的方法.
- 在信号交叉点分析车辆和行人运动模式.
- 评估LiDAR在实时交通监控和行人行为分析方面的潜力.
主要方法:
- 利用LiDAR轨迹数据从一个十字路口超过24小时的时间,捕获数百万的车辆和行人通道点.
- 从车辆和行人线性参考轨迹生成的普杜探测图 (PPD).
- 应用基于车辆的PDD来估计性能指标,如队列长度,到达绿色和服务水平;基于行人的PDD用于等待时间和跨越多个行人通行.
主要成果:
- 从LiDAR数据中成功估计了关键的交通信号性能指标 (例如,第85百分点队列长度,高速公路容量手动服务水平).
- 量化行人运动,包括等待时间和跨越多条路径的个人的比例.
- 确定的行人步行速度 (例如,3.9英尺/秒的15百分位数),可以根据数据调整信号定时.
结论:
- 激光雷达 (LiDAR) 技术提供了一种可靠的方法,用于对车辆和行人交通信号性能进行详细的实时评估.
- 与标准指南相比,能够直接测量行人速度,使得交通信号计时策略更为明智,可能更安全.
- 激光雷达数据通过提供对十字路口动态的细粒度洞察力来增强交通管理能力.
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