论文标题
由于局部路线决定，减少城市交通拥堵
Reducing urban traffic congestion due to localized routing decisions
论文作者
论文摘要
通过影响驾驶员的路线选择来减轻交通拥堵的路线来平衡交通流量，对城市交通规划越来越有吸引力。在这里，我们介绍了一个离散的动力模型，其中包括用户，这些模型是根据本地信息以及考虑基于本地诱导的路由建议的人做出自己的路由选择的。我们确定流量模式的形成，开发一种可扩展的优化方法来识别用于用户指导的控制值，并测试这些措施对合成和现实世界道路网络的有效性。
Balancing traffic flow by influencing drivers' route choices to alleviate congestion is becoming increasingly more appealing in urban traffic planning. Here, we introduce a discrete dynamical model comprising users who make their own routing choices on the basis of local information and those who consider routing advice based on localized inducement. We identify the formation of traffic patterns, develop a scalable optimization method for identifying control values used for user guidance, and test the effectiveness of these measures on synthetic and real-world road networks.
