2014Unpublished venueRequires access

WAY TO GREEN: INTELLIGENT TRAFFIC CONTROL WITH VANET

Jini Kuriakose, K Gayathry

Open publisher page 2 citations

Abstract

Today unmanaged traffic is generating many problems to the public such as having to wait for so much time in the intersections, accidents to the careless driver behavior etc.. An efficient and intelligent traffic control that incorporates pedestrians and vehicles are required. This paper explores the idea of using vehicle information to enhance efficient traffic signaling. For areas where there is no traffic light control, V2V communication can be used to avoid accidents. The paper mainly focuses on controlling the traffic light based on the density of vehicles and warning the drivers regarding the pedestrians and buildings in the way using an object detection method. The existing traffic light scheduling is static and so vehicles have to wait so much time in the intersection even if there is light traffic. The goal of this paper is to enhance safe driving environment for both drivers and pedestrians. The smart traffic system uses vehicle information and pedestrian detection system to efficiently schedule the traffic. The paper also considers scheduling of emergency vehicles such as ambulances. Thus by exploring VANET, the traffic light schedule can be changed dynamically and efficient traffic implementation can be achieved.

About this research paper

What this paper is about

Today unmanaged traffic is generating many problems to the public such as having to wait for so much time in the intersections, accidents to the careless driver behavior etc.. An efficient and intelligent traffic control that incorporates pedestrians and vehicles are required. This paper explores the idea of using vehicle information to enhance efficient traffic signaling. For areas where there is no traffic light control, V2V communication can be used to avoid accidents. The paper mainly focuses on controlling the traffic light based on the density of vehicles and warning the drivers regarding the pedestrians and buildings in the way using an object detection method. The existing traffic light scheduling is static and so vehicles have to wait so much time in the intersection even if there is light traffic. The goal of this paper is to enhance safe driving environment for both drivers and pedestrians. The smart traffic system uses vehicle information and pedestrian detection system to efficiently schedule the traffic. The paper also considers scheduling of emergency vehicles such as ambulances. Thus by exploring VANET, the traffic light schedule can be changed dynamically and efficient traffic implementation can be achieved.

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OpenAlex reports 2 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

Today unmanaged traffic is generating many problems to the public such as having to wait for so much time in the intersections, accidents to the careless driver behavior etc.. An efficient and intelligent traffic control that incorporates pedestrians and vehicles are required. This paper explores the idea of using vehicle information to enhance efficient traffic signaling. For areas where there is no traffic light control, V2V communication can be used to avoid accidents. The paper mainly focuses on controlling the traffic light based on the density of vehicles and warning the drivers regarding the pedestrians and buildings in the way using an object detection method. The existing traffic light scheduling is static and so vehicles have to wait so much time in the intersection even if there is light traffic. The goal of this paper is to enhance safe driving environment for both drivers and pedestrians. The smart traffic system uses vehicle information and pedestrian detection system to efficiently schedule the traffic. The paper also considers scheduling of emergency vehicles such as ambulances. Thus by exploring VANET, the traffic light schedule can be changed dynamically and efficient traffic implementation can be achieved.

Key concepts: Schedule, Computer science, Pedestrian, Scheduling (production processes), Intersection (aeronautics), Vehicular ad hoc network, Transport engineering, Traffic bottleneck

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