UM
A Novel Dynamic En-Route Decision Real-Time Route Guidance Scheme in Intelligent Transportation Systems
Lin, Jie1; Yu, Wei2; Yang, Xinyu1; Yang, Qingyu3; Fu, Xinwen4; Zhao, Wei5
2015-07-22
Conference Name35th IEEE International Conference on Distributed Computing Systems, ICDCS 2015
Source PublicationProceedings - International Conference on Distributed Computing Systems
Volume2015-July
Pages61-72
Conference Date6 29, 2015 - 7 2, 2015
Conference PlaceColumbus, OH, United states
Author of SourceInstitute of Electrical and Electronics Engineers Inc.
AbstractIn an intelligence transportation system (ITS), to increase traffic efficiency, a number of dynamic route guidance schemes have been designed to assist drivers in determining the optimal route for their travels. In order to determine optimal routes, it is critical to effectively predict the traffic condition of roads along the guided routes based on real-time traffic information to mitigate traffic congestion and improve traffic efficiency. In this paper, we propose a Dynamic En-route Decision real-time Route guidance (DEDR) scheme to effectively mitigate road congestion caused by the sudden increase of vehicles and reduce travel time. Particularly, DEDR considers real-time traffic information generation and transmission. Based on the shared traffic information, DEDR introduces Trust Probability to predict traffic conditions and dynamically en-route determine alternative optimal routes. In addition, DEDR considers multiple metrics to comprehensively assess traffic conditions and drivers can determine optimal route with individual preference of these metrics during travel. DEDR also considers effects of external factors (e.g., Bad weather, incidents, etc.) on traffic conditions. Through a combination of extensive theoretical analysis and simulation experiments, our data shows that DEDR can greatly increase the efficiency of an ITS in terms of great time efficiency and balancing efficiency in comparison with existing schemes. © 2015 IEEE.
DOI10.1109/ICDCS.2015.15
Language英语
Fulltext Access
Citation statistics
Document TypeConference paper
CollectionUniversity of Macau
Affiliation1.Xian Jiaotong University, China;
2.Towson University, United States;
3.SKLMSE Lab, School of Electronics and Information Engineering, Xi' An Jiaotong University, China;
4.University of Massachusetts Lowell, United States;
5.University of Macau, China
Recommended Citation
GB/T 7714
Lin, Jie,Yu, Wei,Yang, Xinyu,et al. A Novel Dynamic En-Route Decision Real-Time Route Guidance Scheme in Intelligent Transportation Systems[C]//Institute of Electrical and Electronics Engineers Inc.,2015:61-72.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Lin, Jie]'s Articles
[Yu, Wei]'s Articles
[Yang, Xinyu]'s Articles
Baidu academic
Similar articles in Baidu academic
[Lin, Jie]'s Articles
[Yu, Wei]'s Articles
[Yang, Xinyu]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Lin, Jie]'s Articles
[Yu, Wei]'s Articles
[Yang, Xinyu]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.