Emergency Vehicle Traversal using DSRC/WAVE based Vehicular Communication

The response time of emergency vehicles (EVs) determines the outcome of many emergencies, thus improving the traversal time of EVs is of paramount importance. Vehicular communication is a key enabler of such an improvement. This paper studies two EV traversal algorithms, focusing mainly on their communication aspects. Fast moving dense traffic is modeled, and the traversal algorithms are implemented on top of the dedicated short-range communication (DSRC) / wireless access in vehicular environments (WAVE) protocol stack, while accounting for channel impairments such as path loss and fading. Algorithms that highlight the required packet transfers for the traversal and for safe lane changes are presented, and simulated in the VEINS framework for different traffic conditions. Simulation results show that the suitability of the EV traversal algorithms defer depending on the speed distribution of the vehicles. Further insights drawn from the simulation are utilized to fine tune the EV traversal algorithms and to decrease the traversal time further.

[1]  Guoyuan Wu,et al.  Anticipatory Lane Change Warning using Vehicle-to-Vehicle Communications , 2018, 2018 21st International Conference on Intelligent Transportation Systems (ITSC).

[2]  Maxim Raya,et al.  TraCI: an interface for coupling road traffic and network simulators , 2008, CNS '08.

[3]  Tharaka Samarasinghe,et al.  802.11p: Insights from the MAC and Physical Layers for a Cooperate Car Following Application , 2017 .

[4]  Jon W. Mark,et al.  Performance Analysis and Enhancement of the DSRC for VANET's Safety Applications , 2013, IEEE Trans. Veh. Technol..

[5]  Michael Weber,et al.  A VANET-based emergency vehicle warning system , 2009, 2009 IEEE Vehicular Networking Conference (VNC).

[6]  Kazumasa Takami,et al.  A method of securing priority-use routes for emergency vehicles using inter-vehicle and vehicle-road communication , 2015, 2015 7th International Conference on New Technologies, Mobility and Security (NTMS).

[7]  Hamed Noori,et al.  Realistic urban traffic simulation as vehicular Ad-hoc network (VANET) via Veins framework , 2012, 2012 12th Conference of Open Innovations Association (FRUCT).

[8]  Chung-Hsien Hsu,et al.  Implementation of WAVE/DSRC Devices for vehicular communications , 2010, 2010 International Symposium on Computer, Communication, Control and Automation (3CA).

[9]  Minghua Chen Improved genetic algorithm for emergency logistics distribution vehicle routing problems , 2014, Proceedings 2014 IEEE International Conference on Security, Pattern Analysis, and Cybernetics (SPAC).

[10]  Eylem Ekici,et al.  Vehicular Networking: A Survey and Tutorial on Requirements, Architectures, Challenges, Standards and Solutions , 2011, IEEE Communications Surveys & Tutorials.

[11]  Ana L. C. Bazzan,et al.  A Distributed Approach for Coordination of Traffic Signal Agents , 2004, Autonomous Agents and Multi-Agent Systems.

[12]  Akash Agarwal,et al.  V2V communication for analysis of lane level dynamics for better EV traversal , 2016, 2016 IEEE Intelligent Vehicles Symposium (IV).

[13]  Daniel Krajzewicz,et al.  Recent Development and Applications of SUMO - Simulation of Urban MObility , 2012 .