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| Content Provider | Springer Nature Link |
|---|---|
| Author | Chen, Bi Yu Lam, William H. K. Sumalee, Agachai Li, Qingquan Shao, Hu Fang, Zhixiang |
| Copyright Year | 2012 |
| Abstract | The aim of this study is to investigate the solution algorithm for solving the problem of determining reliable shortest paths in road networks with stochastic travel times. The availability of reliable shortest paths enables travelers, in the face of travel time uncertainty, to plan their trips with a pre-specified on-time arrival probability. In this study, the reliable shortest path between origin and destination nodes is determined using a multiple-criteria shortest path approach when link travel times follow normal distributions. The dominance conditions involved in such problems are established, thereby reducing the number of generated non-dominated paths during the search processes. Two solution algorithms, multi-criteria label-setting and A* algorithms, are proposed and their complexities analyzed. Computational results using large scale networks are presented. Numerical examples using data from a real-world advanced traveller information system is also given to illustrate the applicability of the solution algorithms in practice. |
| Starting Page | 123 |
| Ending Page | 148 |
| Page Count | 26 |
| File Format | |
| ISSN | 1566113X |
| Journal | Networks and Spatial Economics |
| Volume Number | 13 |
| Issue Number | 2 |
| e-ISSN | 15729427 |
| Language | English |
| Publisher | Springer US |
| Publisher Date | 2012-05-16 |
| Publisher Place | Boston |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Reliable shortest path problem Travel time reliability Advanced traveller information system Pre-trip planning application Regional/Spatial Science Civil Engineering Operations Research/Decision Theory |
| Content Type | Text |
| Resource Type | Article |
| Subject | Artificial Intelligence Computer Networks and Communications Software |
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