Thesis Topic Details

Topic ID:
3535
Title:
Road traffic estimation via wireless communication
Supervisor:
Lavy Libman
Research Area:
Intelligent Transport Systems, Wireless Applications
Associated Staff
Assessor:
Mahbub Hassan
Topic Details
Status:
Active
Type:
R & D
Programs:
CS CE
Group Suitable:
Yes
Industrial:
Pre-requisites:
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Description:
With the widespread rise of vehicular wireless communication systems using Direct Short-Range Communication (DSRC) technology, real-time fine-grained traffic management is becoming a reality, involving vehicles that transmit periodic location and speed beacons to roadside infrastructure units or other vehicles. This project will develop and implement the necessary software for simulating a traffic estimation system based on "blending" the real-time information obtained from such beacons into traditional traffic models, for purposes such as prediction of travel time along a route. The simulation framework will be used to explore the impact of various state-of-the-art protocols on the accuracy of the resulting traffic estimations and predictions.

Requirements: As the development of the simulation software will be based on the Veins platform (OMNET++ and SUMO), a strong coding ability and fluency in C++ is essential. In addition, being familiar with the details of wireless communication protocols such as WiFi is a strong advantage. Previous experience with either road traffic or communication network simulators is desirable but not essential; this project is a good opportunity to gain the necessary practical skills.
Comments:
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