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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Kim, Sojung Son, Young-Jun Tian, Ye Chiu, Yi-Chang |
| Copyright Year | 2014 |
| Description | Author affiliation: Systems and Industrial Engineering, The University of Arizona, Tucson, 85721, USA (Kim, Sojung; Son, Young-Jun) || Civil Engineering and Engineering Mechanics, The University of Arizona, Tucson, 85721, USA (Tian, Ye; Chiu, Yi-Chang) |
| Abstract | The goal of this paper is to analyze drivers' en-route divergence behaviors when a road way is blocked by a car incident. The Extended Belief-Desire-Intention (E-BDI) framework is adopted in this work to mimic real drivers' uncertain en-route planning behaviors based on the drivers' perceptions and experiences. The proposed approach is implemented in Java-based E-BDI modules and DynusT® traffic simulation software, where a traffic data of Phoenix in the U.S. is used to illustrate and demonstrate the proposed approach. For validation of the proposed approach, we compare the drivers' en-route divergence patterns obtained by E-BDI en-route planning with the divergence patterns provided by Time Dependent Shortest Path (TDSP) finding algorithm of DynusT®. The results have revealed that the proposed approach allows us to better understand various divergence patterns of drivers so that a reliable traffic system considering impacts of the sudden road way blocking events can be designed. |
| Starting Page | 344 |
| Ending Page | 355 |
| File Size | 1182132 |
| Page Count | 12 |
| File Format | |
| e-ISBN | 9781479974863 |
| DOI | 10.1109/WSC.2014.7019901 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-12-07 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Vehicles Planning Roads Decision making Probabilistic logic Web services Training |
| Content Type | Text |
| Resource Type | Article |
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