OnTraJaCS: Ontology based Traffic Jam Control System
Loading...
Date
2012
Authors
Journal Title
Journal ISSN
Volume Title
Type
Article
Publisher
Foundation of Computer Science
Series Info
International Journal of Computer Applications;Volume: 60 Issue: 2 Pages: 6-16
Doi
Scientific Journal Rankings
Abstract
Traffic jams and congestions have bad effects on drivers
and the whole community. Most – if not all – route planning
systems focus on finding the optimal/fastest route for its
users. Users might be advised to pass through a congested
road section if it will take less time to traverse than its alternatives. This approach ignores the negative effects of
congestion on both of the individual and the whole community. Instead of focusing on giving each user the fastest
route to his destination, this papers aims to develop a model
that would be optimal to the whole community. The ultimate objective of the OnTraJaCS is to give all registered
vehicles route recommendations that would minimize congestions when they are executed simultaneously. This is
achieved by minimizing congestion over the whole map
even if some trips will take longer path in order to avoid
congestion formation. OnTraJaCS uses Web Ontology to
detect and predict congestion and it uses Java to simulate
and evaluate possible plans. Simulation results proved that
the OnTraJaCS is able to find optimal plans in accordance
with the desired criteria and hence fulfilling its objective,
with a slight increase in average trip time.
Description
MSA Google Scholar
Keywords
October University for University of Route Planning, Optimization, Congestion avoidance, Traffic Jam, Road Network, Ontology
Citation
[1] Boris S. Kerner, Introduction to Modern Traffic Flow Theory and Control: The Long Road to Three-Phase Traffic Theory, 1st ed. Berlin: Springer, 2009. [2] Tim Berners-Lee, James Hendler, and Ora Lassila, "The semantic web : a new form of web content that is meaningful to computers will unleash a revolution of new possibilities," Scientific American, May 2001. [3] Dieter Fensel, Ontologies: A Silver Bullet for Knowledge Management and Electronic Commerce, 2nd ed. New York, USA: Springer, 2004. [4] Nicola Guarino, "Formal ontology in information systems," in proceedings of the first international conference (FOIS'98), Treno, 1998. [5] Wei-Hsun Lee, Shian-Shyong Tseng, and Wern-Yarng Shieh, "Collaborative real-time traffic information generation and sharing framework for the intelligent transportation system," Information Sciences, pp. 62- 70, 2010. [6] Jae-Bong Yoo, Byung-Ki Kim: Ho-Min Jung, ChanYoung Park, and Young-Woong Ko, "INTRACS: Intelligent Traffic Control System Based on Ubiquitous Technology," in INFOS2008, Cairo, 2008, pp. 78-83. [7] Jing Yuan, Yu Zheng, Xing Xie, and Guang-Zhong Sun, "Driving with Knowledge from the Physical World," in KDD'11, San Diego, 2011, pp. 316-324. [8] Jedrzej Rybicki, Björn Scheuermann, Markus Koegel, and Martin Mauve, "PeerTIS – A Peer-to-Peer Traffic Information System," in The Sixth ACM International Workshop on VehiculAr Inter-NETworking (VANET 2009), Beijing, 2009, pp. 23-21. [9] Andreas Riener and Alois Ferscha, "Effect of Proactive Braking on Traffic Flow and Road Throughput," in 13th IEEE/ACM International Symposium on Distributed Simulation and Real Time Applications, Singapore, 2009, pp. 157-164. [10] Takayuki Nakata and Jun-ichi Takeuchi, "Mining Traffic Data from Probe-Car System for Travel Time Prediction," in KDD'04, Seattle, 2004, pp. 817-822. [11] Bogdan Tatomir, Leon J.M. Rothkrantz, and Adriana C. Suson, "TRAVEL TIME PREDICTION FOR DYNAMIC ROUTING USING ANT BASED CONTROL," in Winter Simulation Conference, Berlin, 2009, pp. 1069-1078. [12] Hitoshi Kanoh and Kenta Hara, "Hybrid Genetic Algorithm for Dynamic Multi-objective Route Planning with Predicted Traffic in a Real-World Road Network," in GECCO, Atlanta, 2008. [13] Hector Gonzalez, Jiawei Han, Xiaolei Li, Margaret Myslinska, and John Paul Sondag, "Adaptive Fastest Path Computation on a Road Network: A Traffic Mining Approach," in VLDB'07, Vienna, 2007, pp. 794-805. [14] Dieter Pfoser and Nectaria Tryfona, "The Use of Ontologies in Location-based Services:The Space and Time Ontology in Protégé," Research Academic Computer Technology Institute, Athens, Greece,. [15] Lemonia Ragia and Michel Deriaz, "Location Based Services for Traffic Management," Advanced Systems Group (ASG), Geneva, 2006.