机组调度
调度(生产过程)
公共交通
启发式
计算机科学
运筹学
过程(计算)
工程类
数学优化
工业工程
运输工程
运营管理
人工智能
数学
操作系统
作者
Mathias Michaelis,Anita Schöbel
出处
期刊:Public Transport
[Springer Science+Business Media]
日期:2009-08-01
卷期号:1 (3): 211-232
被引量:96
标识
DOI:10.1007/s12469-009-0014-9
摘要
Given an existing public transportation network, the classic planning process in public transportation is as follows: In a first step, the lines are designed; in a second step a timetable is calculated and finally the vehicle and crew schedules are planned. The drawback of this sequence is that the main factors for the costs (i.e. the number of vehicles and drivers needed) are only determined in a late stage of the planning process. We hence suggest to reorder the classic sequence of the planning steps: In our new approach we first design the vehicle routes, then split them to lines and finally calculate a (periodic) timetable. The advantage is that costs can be controlled during the whole process while the objective in all three steps is customer-oriented. In the paper we formulate an integrated model from which we develop this new approach, discuss the complexity of the resulting problems, and present a heuristic which we applied within a case study, optimizing the local bus system in Göttingen, Germany.
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