参与式路线规划

David Wilkie, Cenk Baykal, M. Lin
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引用次数: 12

摘要

我们提出了一种“参与式路线规划”的方法,这是一种利用移动设备(如手机或汽车嵌入式系统)来形成交互式参与式车辆网络的新概念,该网络根据当前交通状况和参与者网络规划的现有路线来规划其旅行路线,从而为每个参与用户做出更明智的旅行决策。这种方法的前提是,车辆的路线或计划也是对汽车行驶地点的预测。如果路线是为总车辆数量的相当大的百分比创建的,则可以对总体交通模式进行估计。将规划的路线作为预测考虑在内,可以使整个交通路线规划系统更好地分配车辆并最大限度地减少交通拥堵。我们提出了一种适合现实的城市规模场景的方法,一个原型系统来证明可行性,并使用最先进的微观交通模拟器进行实验。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Participatory route planning
We present an approach to "participatory route planning," a novel concept that takes advantage of mobile devices, such as cellular phones or embedded systems in cars, to form an interactive, participatory network of vehicles that plan their travel routes based on the current traffic conditions and existing routes planned by the network of participants, thereby making more informed travel decision for each participating user. The premise of this approach is that a route, or plan, for a vehicle is also a prediction of where the car will travel. If routes are created for a sizable percentage of the total vehicle population, an estimate for the overall traffic pattern is attainable. Taking planned routes into account as predictions allows the entire traffic route planning system to better distribute vehicles and minimize traffic congestion. We present an approach that is suitable for realistic, city-scale scenarios, a prototype system to demonstrate feasibility, and experiments using a state-of-the-art microscopic traffic simulator.
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