Authors:
Biru Rajak,Shrabani Mallick,Dharmender SinghKushwaha,DOI NO:
http://doi.org/10.26782/jmcms.2019.10.00007Keywords:
Emergency vehicle,Green Corridor,RFID,Smart traffic management,SUMO,Traffic congestion,Abstract
The transportation management system is becoming an overwhelming task across the globe due to Globalization and population growth. Increased traffic congestion poses several problems. The extended waiting time at traffic jam leading to air and noise pollution due to the amassed vehicle is a serious threat to human health and the environment. This situation aggravates the clearance of any emergency vehicle resulting in grave consequences for the patient. A better control over the transportation system can be achieved through the Internet of Thing (IoT) based smart infrastructure. To deal with such emergency situations, this paper proposes a framework for automatic emergency vehicle clearance system. Traffic signal dynamically suspends the routine movement of traffic flow to create a "Green Corridor" to pass the ambulance without any delay at the traffic junctions. IoT based RFID tag and reader at vehicle and traffic junction respectively is used to identify the ambulance at the traffic junction. The work is simulated in SUMO and detection of RFID is analyzed in NS2 with the integration of SUMO. Considering the criticality of the issue, a simulation of the proposed work does not suffice. Therefore to check the robustness of the proposed system, it has been tested in a laboratory environment. The average reduction in travel time for five different simulations for an emergency vehicle from source to destination is 254.6%, which is substantial.Refference:
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