Site Search
Computer Science


Dr. Ziad Kobti lecturingDr. Ziad Kobti
Dr. Ziad Kobti
Christie Ezeife, Ph.D.Dr. Christie Ezeife
Dr. Christie Ezeife
Alioune Ngom, Ph.D.Dr. Alioune Ngom
Dr. Alioune Ngom
Imran Ahmad, Ph.D.Dr. Imran Ahmad
Dr. Imran Ahmad
Robin Gras, Ph.D.Dr. Robin Gras
Dr. Robin Gras
Arunita Jaekel, Ph.D.Dr. Arunita Jaekel
Dr. Arunita Jaekel
Dr. Scott GoodwinDr. Scott Goodwin
Dr. Scott Goodwin
Jessica Chen, Ph.D.Dr. Jessica Chen
Dr. Jessica Chen
Dr. Luis RuedaDr. Luis Rueda
Dr. Luis Rueda
Windsor WaterfrontWindsor Waterfront Park
Windsor Waterfront Park
Xiaobu Yuan, Ph.D.Dr. Xiaobu Yuan
Dr. Xiaobu Yuan
Lambton TowerLambton Tower
Lambton Tower
Dr. Robert KentDr. Robert Kent
Dr. Robert Kent

Dynamic edge weight distribution in VANET for energy efficient route planning

Add this event into your calendar using the iCAL format
  • Wed, 05/24/2017 - 10:30am - 12:30pm

Dynamic edge weight distribution in VANET for energy efficient route planning

MSc Thesis Proposal by:

Nazmul Sumon

Date:  Wednesday, May 24th, 2017
Time:  10: 30 am – 11:30 am
Location: 3105, Lambton Tower


Abstract: Route planning of traditional global positioning (GPS) devices advises drivers on the shortest trip based on static route database and some use of subscribed data feed on the current traffic congestion. The inefficiency of such route planning doesn't consider the results of aggregated load on alternative lighter paths where the vehicles are rerouted to. Timing is also important since the current congestion doesn't mean it will remain congested for an indefinite period. Such inaccuracies in decision making can lead to further poor traffic distribution. Vehicular Ad Hoc Networking (VANET) - now an integral part of ITS (Intelligent Transportation System), can share pertinent information of road and vehicular data with other vehicles and road side infrastructures (RSU). These disseminated data then can be analyzed by the central traffic monitoring system to coordinate efficient route planning and scheduling. Previous research has shown how current travel time information (CTT) of roads can be used for efficient route planning. Our work is to develop a VANET system, by blending in other road traffic parameters such as elevation, to provide more fuel-efficient route planning. The experiments and results will be evaluated using OMNET++, SUMO and VEINS simulators.

Thesis Committee:
Internal Reader: Dr. Mehdi Kargar
External Reader: Dr. Kemal Tepe
Advisors: Dr. Arunita Jaekel and Dr. Robert D. Kent

See More: