SCS Undergraduate Thesis Topics
|Hend Gedawy||Khaled Harras/Bernadine Dias||Dynamic Path Planning and Traffic Signal Coordination for Emergency Vehicle Routing|
Expedient movement of emergency vehicles to and from the scene of an accident can greatly improve the chance that lives will be saved. One way to shorten the vehicles travel time is through traffic signal preemption which gives emergency vehicles preference at intersections. Early approaches to traffic signal preemption depended on direct signal communication between the vehicle and the intersection. Later, GPS was used to more accurately locate the emergency vehicle. To reduce the emergency vehiclebprogramming framework. s travel time even more, path planning was combined with preemption to allow the vehicle to choose the anticipated least congested route. These previous approaches have two main limitations. First, considering only traffic lights along the emergency vehiclebprogramming framework. s route incorrectly assumes that congestion results only from those lights. Secondly, path planning approaches, while an improvement on traffic signal preemption alone, have adopted a static perspective to route planning, which ignores the possibility that the level of congestion can change during the emergency vehiclebprogramming framework. s journey. This research, therefore, explores two potential enhancements to further reduce emergency vehicle travel time. The first enhancement is a preemption plan that incorporates the traffic lights along the chosen path as well as the lights in the vicinity that might indirectly affect congestion along the chosen path. The second is dynamic path planning using the D*Lite algorithm to dynamically and optimally adjust the chosen path plan based on real-time updates of traffic conditions. The results of this thesis are validated by simulating relevant scenarios using the VISSIM microscopic traffic simulator.