Combinatorial problems in an adaptive public transportation network

Moshe Friedman
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Abstract

The paper addresses the following combinatorial problems: What are the minimal number of buses and drivers needed to keep up an adaptive public transportation network with prescribed departure and travel times. The system is adaptive in the sense that buses as well as drivers are not restricted to travel only one given two way line, but may also traverse among lines. However, adaptation to passenger loading is not yet directly considered. The relaxation of the “two way lines” constraint should provide more flexibility in employing the resources required to maintain and operate the network. No assumptions are imposed upon either the departure or travel times.

The solution process is simple and intuitive and it seems that it can serve as a basic framework for accommodating some changes in the underlying structure of the system. The algorithm is an interim step in a mathematical program where the departure times are taken as control variables and are selected to minimize the average waiting time of passengers, or alternatively other performance indices of the network. The final buses' trips are not unique and their choice is subject to managerial considerations.

自适应公共交通网络中的组合问题
本文解决了以下组合问题:在规定的出发时间和出行时间下,维持一个适应性公共交通网络所需的最小公共汽车和司机数量是多少?从某种意义上说,该系统是自适应的,即公共汽车和司机不仅限于在一条给定的双向线路上行驶,而且还可以在线路之间穿行。然而,对载客的适应性还没有直接考虑。放宽“双向线”限制应能更灵活地使用维持和运作网络所需的资源。对出发或旅行时间没有任何假设。解决方案过程简单而直观,它似乎可以作为一个基本框架来适应系统底层结构中的一些变化。该算法是一个数学程序的中间步骤,该程序将发车时间作为控制变量,并选择以最小化乘客的平均等待时间或网络的其他性能指标。最后的巴士行程并不是唯一的,他们的选择取决于管理层的考虑。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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