Traffic management for emergency vehicle priority based on visual sensing

Show simple item record Nellore, Kapileswar Hancke, Gerhard P. 2017-06-10T07:18:41Z 2017-06-10T07:18:41Z 2016
dc.description.abstract Vehicular traffic is endlessly increasing everywhere in the world and can cause terrible traffic congestion at intersections. Most of the traffic lights today feature a fixed green light sequence, therefore the green light sequence is determined without taking the presence of the emergency vehicles into account. Therefore, emergency vehicles such as ambulances, police cars, fire engines, etc. stuck in a traffic jam and delayed in reaching their destination can lead to loss of property and valuable lives. This paper presents an approach to schedule emergency vehicles in traffic. The approach combines the measurement of the distance between the emergency vehicle and an intersection using visual sensing methods, vehicle counting and time sensitive alert transmission within the sensor network. The distance between the emergency vehicle and the intersection is calculated for comparison using Euclidean distance, Manhattan distance and Canberra distance techniques. The experimental results have shown that the Euclidean distance outperforms other distance measurement techniques. Along with visual sensing techniques to collect emergency vehicle information, it is very important to have a Medium Access Control (MAC) protocol to deliver the emergency vehicle information to the Traffic Management Center (TMC) with less delay. Then only the emergency vehicle is quickly served and can reach the destination in time. In this paper, we have also investigated the MAC layer in WSNs to prioritize the emergency vehicle data and to reduce the transmission delay for emergency messages.We have modified the medium access procedure used in standard IEEE 802.11p with PE-MAC protocol, which is a new back off selection and contention window adjustment scheme to achieve low broadcast delay for emergency messages. A VANET model for the UTMS is developed and simulated in NS-2. The performance of the standard IEEE 802.11p en_ZA
dc.description.department Electrical, Electronic and Computer Engineering en_ZA
dc.description.librarian am2017 en_ZA
dc.description.uri en_ZA
dc.identifier.citation Nellore, K & Hancke, GP 2016, 'Traffic management for emergency vehicle priority based on visual sensing', Sensors, vol. 16, pp. 1-22. en_ZA
dc.identifier.issn 1424-8220
dc.identifier.other 10.3390/s16111892
dc.language.iso en en_ZA
dc.publisher MDPI Publishing en_ZA
dc.rights © 2016 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC-BY) license. en_ZA
dc.subject Audio visual sensing en_ZA
dc.subject Emergency vehicle en_ZA
dc.subject Traffic lights en_ZA
dc.subject Traffic monitoring en_ZA
dc.subject Priority en_ZA
dc.subject Distance measurement techniques en_ZA
dc.subject Medium access control (MAC) en_ZA
dc.subject Traffic management center (TMC) en_ZA
dc.subject Vehicular Ad-Hoc Networks (VANETs) en_ZA
dc.title Traffic management for emergency vehicle priority based on visual sensing en_ZA
dc.type Article en_ZA

Files in this item

This item appears in the following Collection(s)

Show simple item record