公共交通线路的实时设计：协调适应性与效率
Real-Time Design of Public Transport Lines: Reconciling Adaptivity and Efficiency
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中文总结 AI 辅助
本文提出一种基于滚动时域优化的公共交通线路实时设计策略，解决了需求响应式交通效率低、常规公共交通适应性差的问题，服务请求比例近翻倍，且用户出行时间更短。
中文摘要 AI 辅助
需求响应式交通（DRT）通常通过求解动态车辆路径问题（DVRP）来规划路径，即根据新到达的请求调整单个车辆轨迹，这限制了需求整合，因而效率较低。另一方面，常规公共交通（CPT）公交系统基于线路网络构建，用户可在该网络上规划路线，能实现高需求整合，但该网络是离线构建的，无法适应需求变化。本文提出一种公共交通管理策略，通过滚动时域优化方法动态设计结构化线路网络，以协调效率与适应性。利用真实出行请求数据，结果显示，与基于DVRP的路径规划相比，本文策略服务的请求比例几乎翻倍，且服务的请求数量多于CPT，同时用户出行时间更短。
英文摘要
Demand-responsive transport (DRT) is typically routed by solving Dynamic Vehicle Routing Problems (DVRPs), where individual vehicle trajectories are adjusted on incoming requests. This limits demand consolidation and thus efficiency. On the other hand, Conventional Public Transport (CPT) bus systems are based on a network of lines and users find their routes on it, which provides high demand consolidation. However, such a network is built offline and cannot adapt to the demand. We propose a public transport management strategy that reconciles efficiency and adaptivity by dynamically designing a structured network of lines via a receding-horizon optimization approach. Using real-world trip requests, we show that we nearly double the fraction of served requests compared to DVRP-based routing, and we serve more requests than CPT with lower user trip times.
