Vehicle traffic congestion management in vehicular ad-hoc networks

Mohandas, Brijesh Kadri; Liscano, Ramiro; Yang, O.W.W.

doi:10.1109/lcn.2009.5355052

Cited by 45 publications

(17 citation statements)

References 17 publications

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“…It is essential to detect any traffic congestion first. [1] proposes a scheme to determine the congestion by calculating the length of the waiting queue at the intersection. [20] utilizes the "cell dwell time" (also called "area passage time" in [4]) to obtain the information of congestion.…”

Section: Related Workmentioning

confidence: 99%

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GUI: GPS-Less Traffic Congestion Avoidance in Urban Areas with Inter-Vehicular Communication

Jiang

Sabatino

2014

2014 IEEE 11th International Conference on Mobile Ad Hoc and Sensor Systems

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Abstract-Driving in an urban canyon can be frustrating when your GPS teller keeps telling you to make a turn at the place that you just passed, because the information transmission is deferred by the wireless signal reflecting off of buildings and other interfering objects. In this paper, we provide a practical solution for turn-to-turn guidance with inter-vehicle communication in vehicle ad-hoc networks (VANETs). Vehicles collect information from neighbors and catch the snapshot to describe the global impact of traffic congestions, in the presence of unpredictable changes of topology and vehicle trajectory. Without any centralized control, the information can be aggregated along the traffic flow and be disseminated in a minimal area, while sufficiently guiding each vehicle to achieve a global optimization on its path, and to remain on a non-blocked route. The information constitution is implemented in the proactive model, saving the delay of reconstruction in the reactive model (on-demand). Its substantial improvement on the elapsed time will be shown in the experimental results, compared with the best results known to date in both proactive and reactive information models.

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Section: Related Workmentioning

confidence: 99%

“…Traffic jams cause safety issues and increase both fuel consumption and emissions, particularly in large cities [1]. For a driver to avoid traffic congestion, accurate information of traffic patterns ahead is needed, so that the vehicle can be guided to a "congestion-free" route [2][3][4][5].…”

Section: Introductionmentioning

confidence: 99%

GUI: GPS-Less Traffic Congestion Avoidance in Urban Areas with Inter-Vehicular Communication

Jiang

Sabatino

2014

2014 IEEE 11th International Conference on Mobile Ad Hoc and Sensor Systems

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“…Here each vehicle builds a speed map based on the speed of other vehicles in its vicinity and transmits it to neighboring vehicle. A traffic information sharing and route selection procedure to address the problem of vehicle traffic congestion is presented in [10].…”

Section: Literature Surveymentioning

confidence: 99%

Multi Agent Based Congestion Control in VANETs

Koti¹,

Mahabaleshwar²

2014

IJET

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Abstract-Vehicular Ad hoc Networks (VANET) play an important role in future on road Vehicle-to-Vehicle communication systems and related applications like self-organizing, acquiring traffic information using sensors and disseminating it to the nearby vehicles, which are based on broadcast/geocast transmission schemes. It is a challenging task to manage networks in a dynamic environment due to the characteristic of high mobility rate, high relative speed, different driver behaviors and unpredictable link failure occurrences. One of the main criteria in VANETs that has attracted the researchers' consideration is congestion control. Congestion is a major problem all over world, resulting in wastage of valuable time and money. In this paper, we propose multi agent based congestion control scheme, which intelligently acquires the status of the neighboring node information and decides the congestion free path for the safe delivery of packets. Multi agent scheme consists of set of static and mobile agents. Proposed approach guarantees the reliability and timely delivery of messages. Multi agent based scheme exhibits better bandwidth usage and packet delivery ratio and minimizes the latency Index Terms-VANETs, multi agent, latency, bandwidth, congestion control.

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“…Reference [7] used the Adaptive Proportional Integral rate controller, a congestion control algorithm designed for the Internet, to deal with the congestion problem in a road segment of interest that was part of a complex road network. To use this algorithm, they proposed two kinds of roadside units which are installed at the entrance (source roadside unit (S)) and exit (destination roadside unit (D)) of the road segment, the units were used to control the volume of vehicle traffic arriving the road by controlling the traffic lights or by controlling the gates.…”

Section: Related Workmentioning

confidence: 99%

A Novel Intelligent Traffic Light Control Scheme

Wang

2010

2010 Ninth International Conference on Grid and Cloud Computing

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Traffic congestion has become a major problem in today's society. It may cause a great waste of material and human casualties. We think the fixed-time-state traffic light control scheme is one important reason. An intelligent traffic light control scheme is necessary in order to give a solution to this problem. The paper proposes a model to describe a road cross. In terms of dynamic and real-time traffic information, weights of all the serial lanes are dynamically computed, so as to automatically manage the current status and duration of traffic lights. The proposed novel control scheme consider traffic situations of both upstream lanes and downstream lanes, in order to reduce average vehicle waiting time at a road cross. The paper further performs simulations for the proposed scheme and gives detailed analysis on parameters which have great influence on scheme performance. Results show that the proposed scheme outperforms the fixed-time-state traffic light control scheme on average vehicle waiting time.

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Vehicle traffic congestion management in vehicular ad-hoc networks

Cited by 45 publications

References 17 publications

GUI: GPS-Less Traffic Congestion Avoidance in Urban Areas with Inter-Vehicular Communication

GUI: GPS-Less Traffic Congestion Avoidance in Urban Areas with Inter-Vehicular Communication

Multi Agent Based Congestion Control in VANETs

A Novel Intelligent Traffic Light Control Scheme

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