Traffic management for emergency vehicle priority based on visual sensing

dc.contributor.authorNellore, Kapileswar
dc.contributor.authorHancke, Gerhard P.
dc.contributor.emailu15342396@tuks.co.zaen_ZA
dc.date.accessioned2017-06-10T07:18:41Z
dc.date.available2017-06-10T07:18:41Z
dc.date.issued2016
dc.description.abstractVehicular 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 802.11pen_ZA
dc.description.departmentElectrical, Electronic and Computer Engineeringen_ZA
dc.description.librarianam2017en_ZA
dc.description.urihttp://www.mdpi.com/journal/sensorsen_ZA
dc.identifier.citationNellore, K & Hancke, GP 2016, 'Traffic management for emergency vehicle priority based on visual sensing', Sensors, vol. 16, pp. 1-22.en_ZA
dc.identifier.issn1424-8220
dc.identifier.other10.3390/s16111892
dc.identifier.urihttp://hdl.handle.net/2263/61009
dc.language.isoenen_ZA
dc.publisherMDPI Publishingen_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.subjectAudio visual sensingen_ZA
dc.subjectEmergency vehicleen_ZA
dc.subjectTraffic lightsen_ZA
dc.subjectTraffic monitoringen_ZA
dc.subjectPriorityen_ZA
dc.subjectDistance measurement techniquesen_ZA
dc.subjectMedium access control (MAC)en_ZA
dc.subjectTraffic management center (TMC)en_ZA
dc.subjectVehicular Ad-Hoc Networks (VANETs)en_ZA
dc.titleTraffic management for emergency vehicle priority based on visual sensingen_ZA
dc.typeArticleen_ZA

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