RESEARCH INITIATION AWARD GRANT: STATISTICAL MODELS FOR REAL-TIME PARAMETER PREDICTION FROM PROBE VEHICLE DATA AT TRAFFIC INTERSECTIONS

该项目的目标是：基于交通交叉口探测车辆数据的实时参数预测统计模型，开发新的交通交叉口队列长度估计模型，教授本科生数学和计算建模技能，并开发基于项目的本科课程。该项目将根据配备无线通信和位置跟踪技术的车辆（即所谓的探测车辆）的数据，对交通路口的排队长度、延迟和流量等系统参数进行估计。实时估计系统状态可以通过有效地分配可用容量来实现最优控制，从而优化已定义的性能指标，例如最小化队列长度。为了实时估计这些性能指标，各种监控技术被用于测量交通流参数，这些参数随后被用于延迟估计和预测模型。然而，这些检测技术在估计队列长度或延迟方面并不有效。需要研究使用探测器信息（如计数、位置和时间）开发模型，并了解探测器技术如何潜在地改进所需参数的估计。在本项目中，首先对泊松到达的双车道孤立交叉口的左右转弯运动进行队列长度估计，然后对排到达进行队列长度估计。将调查固定和随机服务时间分布。最后，开发的模型将在VISSIM微观仿真平台上进行测试，以显示模型是否准确地估计了所需的参数，以及在什么条件下模型是适当的。

The objectives of the project entitled: Statistical Models for Real-Time Parameter Prediction from Probe Vehicle Data at Traffic Intersections, are to develop new queue length estimate models at traffic intersections, to teach undergraduate students mathematical and computational modeling skills, and to develop project based undergraduate courses.The project will investigate the estimation of system parameters such as queue length, delay, and flow rate at traffic intersections based on data from vehicles instrumented with wireless communication and location tracking technologies, so called probe vehicles. Estimating system states in real-time can enable optimal control through efficiently allocating the available capacity such that a defined performance metric is optimized, for example the queue length is minimized. To estimate these performance measures in real time, various surveillance technologies are being employed to measure traffic flow parameters which are subsequently utilized in models for delay estimation and prediction. However, these detection technologies are not effective in estimating queue lengths or delays. Research is needed to develop models using probe information such as count, location, and time, and to understand how probe vehicle technology could potentially improve the estimation of desired parameters. During this project,first queue length estimators for two-lane isolated intersections with left and right turn movements for Poisson arrivals, then platoon arrivals will be developed. Fixed and random service time distributions will be investigated. Finally, developed models will be tested with VISSIM microscopic simulation platform in order to show if the models are accurately estimating the desired parameters and under what conditions the models are adequate.