基于dgps的公交车道辅助系统

L. Alexander, P. Cheng, M. Donath, A. Gorjestani, B. Newstrom, C. Shankwitz, W. Trach
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引用次数: 18

摘要

地铁运输和明尼苏达州DOT合作运营一个类似brt的系统,贯穿明尼苏达州双城大都市区。在交通高峰期,公共汽车在特别指定的路肩行驶(尽管速度明显低于相邻高速公路的限速)。这使得公共汽车可以绕过拥挤的道路,使公共汽车无论交通状况如何都能保持其时间表。使用肩架的司机面临的一个问题是,肩架的宽度通常不超过3.1米;一辆12米长的公共汽车的后视镜宽度为2.9米,后轮宽度为2.6米。这些狭窄的车道要求驾驶员保持小于0.15米的横向误差,以避免碰撞。在最好的条件下,这是一项艰巨的任务,而在恶劣天气、低能见度、交通拥堵等情况下,这几乎是不可能的。地铁司机不需要使用肩道;肩膀的使用由他们自行决定。遇到恶劣的路况时,很多司机选择不使用肩道。然而,这些恶劣的条件提供了仅使用公共汽车的最大好处,造成了操作上的矛盾。为了最大限度地减少恶劣条件对公共汽车专用肩部使用的影响,明尼苏达大学智能车辆实验室开发了一种车道辅助系统,以帮助公共汽车司机在这些困难的条件下行驶。该系统使用载波相位、双频差分GPS、车道级、高密度、高精度地理空间数据库、横向辅助控制算法、雷达障碍物探测(在低能见度下至关重要),以及图形、触觉和触觉驾驶员界面向驾驶员提供引导信息。除了系统描述之外,还提供了系统在操作总线肩部的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
DGPS-based lane assist system for transit buses
Metro transit and the Minnesota DOT cooperatively operate a BRT-like system throughout the Twin Cities, Minnesota, metropolitan area. During peak congestion periods, buses operate on specially designated road shoulders (albeit at speeds significantly lower than limits posted for the adjacent highway). This allows buses to bypass congested roadways, enabling the bus to maintain its schedule regardless of traffic conditions. One of the problems faced by drivers using the shoulders is that the shoulders are typically no more than 3.1 m wide; a 12 m long transit bus measures 2.9 m across the rear view mirrors, and 2.6 m across the rear dual wheels. These narrow lanes require that a driver maintain a lateral error of less than 0.15 m to avoid collisions. This is a difficult task under the best conditions, and degrades to nearly impossible during conditions of bad weather, low visibility, high traffic congestion, etc. Metro transit drivers are not required to use the shoulders; shoulder use is left to their discretion. When poor conditions are encountered, many drivers choose not to use the shoulder. However, these poor conditions offer the greatest benefit of the bus-only shoulder use, creating an operational paradox. To minimize the effect of poor conditions on the use of bus-only shoulders, a lane assist system has been developed by the Intelligent Vehicles Lab at the University of Minnesota to help bus drivers under these difficult conditions. The system uses carrier phase, dual frequency differential GPS, a lane-level, high density, high accuracy geospatial database, and a lateral control algorithm for lateral assistance, radar for obstacle detection (critical in low visibility), and graphical, haptic, and tactile driver interfaces to provide guidance information to a driver. In addition to the system description, performance of the system on a operational bus-only shoulder is provided.
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