论文标题
按需乘车共享的拓扑依赖性
Topology dependence of on-demand ride-sharing
论文作者
论文摘要
在农村和城市地区，交通是一个挑战，从拥堵到空气污染，负面影响。乘车共享为个人汽车提供了一种吸引人的替代品，将降低交通流量的公共交通工具与大部分灵活性和私人汽车相结合。在这里，我们研究了基础街道拓扑对分析和模拟中骑行捆绑的可行性的影响。使用数值和分析方法，我们发现可以在每辆车的计划停靠次数的数量中测量系统性能。其请求率的扩展大致是线性的，取决于网络拓扑的斜率是衡量该拓扑中乘车共享的一种度量。这种依赖性是由路线体积的不同生长引起的，我们在分析上对单个车辆提供的最简单网络进行分析。
Traffic is a challenge in rural and urban areas alike with negative effects ranging from congestion to air pollution. Ride-sharing poses an appealing alternative to personal cars, combining the traffic-reducing ride bundling of public transport with much of the flexibility and comfort of personal cars. Here we study the effects of the underlying street network topology on the viability of ride bundling analytically and in simulations. Using numerical and analytical approaches we find that system performance can be measured in the number of scheduled stops per vehicle. Its scaling with the request rate is approximately linear and the slope, that depends on the network topology, is a measure of the ease of ridesharing in that topology. This dependence is caused by the different growth of the route volume, which we compute analytically for the simplest networks served by a single vehicle.
