以旅客需求为导向的联合运输路径规划

Passenger Demand-oriented Route Planning of Multimodal Transportation Research

旅客联合运输是提升旅客出行体验最有效的途径,分析旅客路径选择是促进各交通方式实现联合运输需解决的关键问题之一。目前,联合运输路径规划的研究以货物联运为主,缺少对旅客路径规划的分析。针对旅客不同的出行需求和复杂的运输系统,本文以时间满意度最大、出行成本最小为目标,考虑换乘等待时间对路径选择的影响,建立旅客联合运输路径规划模型。针对模型特点,构建了三维时空状态(TST)网络,以成都-广州的出行路径为例,采用改进的蚁群算法进行求解。结果表明,对旅行时间、成本、满意度有不同要求的旅客,路径选择也不相同。通过分析不同需求的旅客对联运路径的选择,为各运输企业制定具有针对性的旅客联合运输产品提供了思路。

Passenger multimodal transport is the most effective way to enhance the travel experience of passengers.Analyzing the passenger’s choice of route is one of the key issues that need to be resolved to promote the development of multimodal transportation.At present,the research of combined transport route planning focuses on cargo combined and lacks the analysis of passenger route planning.In this paper,considering the needs of passengers and the complex transportation network,with the goal of maximizing the time satisfaction and minimizing the cost of passengers,and considering the influence of waiting time of transfer on the choice of passenger route,a model of passenger multimodal transportation route selection was established.According to the characteristics of the model,a three-dimensional space-time-state(TST)network was constructed.Taking the travel route from Chengdu to Guangzhou as an example,an improved ant colony algorithm was used to solve it.The results show that passengers who have different requirements for travel time,cost,and satisfaction have different route choices.Through the analysis of the different needs of passengers on the choice of combined route,it provides ideas for various transportation enterprises to develop targeted passenger combined transportation products.