Research on anticipatory route guidance

Kan Chen, S. Underwood
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引用次数: 93

Abstract

This paper describes the industry-relevant basic research focus of the Michigan IVHS Program in the last two years, with an emphasis on the linkage among the various projects related to anticipatory route guidance. Future direction of this research focus will also be discussed. The critical test for Advanced Traveler Information Systems (ATIS) is whether an individual driver with an appropriately equipped vehicle will get intelligent and safe advice on traffic diversion from his originally chosen route after a congestion-causing incident is detected and verified. Such advice should take into account not only current traffic conditions but also anticipated delay that may occur before the driver reaches his destination. Therefore, the Michigan IVHS research on traffic modeling and route optimization has focused on anticipatory route guidance. The anticipatory guidance system routes the vehicles by minimizing time-dependent link costs incurred by the driver. A novel dynamic programming approach has been used to take advantage of the time-dependent characteristics of the minimal travel-time solution to reduce computation load. The computation of routes is accomplished in the vehicle so that the driver will have complete and private control of not only the objective function, but also the constraints, in the computation for his optimum route. The information to be provided from the infrastructure is a set of anticipated link costs, updated periodically, to reflect current system demand and unexpected traffic incidents. Preliminary analysis has suggested that, to minimize communication load, under certain conditions, all link costs (not just exceptional ones) should be transmitted and appropriate data compression techniques should be used. Since diversion recommendations are generated within the vehicle, no matter where the vehicle happens to be, these recommendations may arise after the driver has passed the location for safe maneuver to divert. Human factors research has been conducted to assess the safe distance before the junction for recommended diversion that should be allowed for safe diversion. This safe distance would depend on the driver characteristics, as well as on the vehicle and road characteristics (including the lane location). The guidance system should be designed so that only safe diversion advice will be given to the driver. Extension of research on anticipatory route guidance includes 1) the projection of link costs through traffic modeling and simulation, 2) inclusion of multiple transportation modes, and 3) coordination with traffic light controls. The research strategy is to generate practical guidelines for ATIS product development, which can be upgraded incrementally as additional research results become available, and as component costs change.
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前瞻性路线引导的研究
本文介绍了密歇根IVHS项目近两年来与行业相关的基础研究重点,重点介绍了与预期路径指导相关的各个项目之间的联系。并对今后的研究方向进行了探讨。先进的旅行者信息系统(ATIS)的关键测试是,在检测和核实导致拥堵的事故后,拥有适当装备的车辆的个人驾驶员是否能够获得有关从其最初选择的路线转移交通的智能和安全建议。这样的建议不仅要考虑到当前的交通状况,还要考虑到在司机到达目的地之前可能发生的延误。因此,密歇根IVHS在交通建模和路径优化方面的研究主要集中在预期路径引导上。预期引导系统通过最小化驾驶员产生的时间相关链接成本来引导车辆。采用一种新颖的动态规划方法,利用最小旅行时间解的时变特性来减少计算量。路线的计算在车辆中完成,使得驾驶员在计算最优路线时不仅对目标函数有完全的私有控制,而且对约束条件也有完全的私有控制。从基础设施提供的信息是一组预期的连接成本,定期更新,以反映当前的系统需求和意外的交通事故。初步分析表明,为了尽量减少通信负荷,在某些条件下,应传输所有链路成本(而不仅仅是特殊的链路成本),并应使用适当的数据压缩技术。由于改道建议是在车辆内部生成的,因此无论车辆恰好在哪里,这些建议都可能在驾驶员通过安全机动以改道的位置后出现。通过人为因素研究,评估了安全导流应允许的推荐导流路口前的安全距离。这个安全距离取决于驾驶员的特性,以及车辆和道路的特性(包括车道位置)。引导系统应设计成只向司机提供安全的改道建议。预期路径引导的扩展研究包括:1)通过交通建模和仿真预测链路成本;2)包含多种交通方式;3)与交通灯控制的协调。研究战略是为ATIS产品开发制定实用的指导方针,随着获得更多的研究成果和部件成本的变化,这些指导方针可以逐步升级。
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