Simulation Study of Driver Assistance System for Emergency Response Vehicles Found 9.09 Percent Travel Time Reduction at 100 Percent Connected Vehicle Market Penetration.
An Agent-Based Modeling Study Estimated Mobility Benefits of a Proposed Routing Assistance System for Emergency Vehicles.
Meso- and Micro-scopic Routing of an Emergency Response Vehicle with Connected Vehicle Technologies
Summary Information
Facilitating the movement of emergency response vehicles (ERVs) along their entire routes rather than only at intersections may help improve overall traffic flow and mobility. This project developed a driver assistance system to support ERV movement throughout an urban transportation network. The system uses real-time data from connected vehicles and updates traffic plans as the emergency vehicle moves, helping to reduce delays for other drivers on the road. It was evaluated using an agent-based modeling tool within a simulated urban network under various levels of congestion and connected vehicle market penetration rates.
METHODOLOGY
The proposed system works by determining the optimal ERV route from origin to destination, identifying when and which non-ERVs to alert about the approaching ERV, generating and sending, for each of these non-ERVs, a unique assistance message about how to appropriately react, and finally disseminating intra-link maneuvering instructions to the ERV.
FINDINGS
- Results showed that, when compared to the case with no system (zero market penetration), ERV travel times were reduced by an average of 9.09 percent at 100 percent market penetration.
- Results also revealed a notable decrease in vehicular interactions; average of 35.46 and 81.38 percent reduction in ERV/non-ERV and non-ERV/non-ERV interactions, respectively, at 100 percent market penetration.
