An Approach for Reducing the Emergency Vehicle’s Travel Time by Routing

Abstract

In order to improve the effectiveness of the routing of an emergency vehicle, it is recommended to combine traffic signal preemption with dynamic path planning processes. We construct a graph version of the D*Lite informed search algorithm in order to design ideal routes for the emergency vehicle in a manner that is both efficient and dynamic. This is accomplished by taking into account real-time updates of congestion levels and other delays to travel time. The findings demonstrate that dynamic path planning has the ability to enhance travel time in situations of unpredictable congestion. Furthermore, the incorporation of an appropriate traffic signal preemption mechanism has the potential to further enhance travel time for emergency vehicles, which might possibly save lives.