CATS: An adaptive traffic signal system based on car-to-car communication

Maslekar, Nitin; Mouzna, Joseph; Boussedjra, M.; Labiod, Houda

doi:10.1016/j.jnca.2012.05.011

Cited by 48 publications

(20 citation statements)

References 5 publications

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“…Maslekar et al [7] presented an adaptive traffic signal control system which utilizes V2V communications in VANETs. In this paper, clustering algorithm is implemented to estimate the number of vehicles approaching an intersection.…”

Section: Control Strategies For Multiple Intersectionsmentioning

confidence: 99%

“…As compared with VISSIM and SUMO, NCTUns provides users with a simulation environment in which traffic simulation and network simulation are tightly integrated. In [7,38], NCTUns is used to model the proposed traffic signal control methods to gather the traffic data information and, at the same time, estimate the related parameters, such as the density, fuel consumption, etc. However, it has been commercialized as a simulation software EstiNet.…”

Section: Aimsun Ng [57] Spainmentioning

confidence: 99%

“…Fixed-time signal control utilizes the historical traffic data to determine signal timing. However, in reality, the traffic demand is unpredictable and fluctuates in time [7,8]. The fixed timing parameter settings cannot meet the requirement of rapidly changing traffic conditions.…”

Section: Introductionmentioning

confidence: 99%

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An Adaptive Traffic Signal Control in a Connected Vehicle Environment: A Systematic Review

2017

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Abstract:In the last few years, traffic congestion has become a growing concern due to increasing vehicle ownerships in urban areas. Intersections are one of the major bottlenecks that contribute to urban traffic congestion. Traditional traffic signal control systems cannot adjust the timing pattern depending on road traffic demand. This results in excessive delays for road users. Adaptive traffic signal control in a connected vehicle environment has shown a powerful ability to effectively alleviate urban traffic congestions to achieve desirable objectives (e.g., delay minimization). Connected vehicle technology, as an emerging technology, is a mobile data platform that enables the real-time data exchange among vehicles and between vehicles and infrastructure. Although several reviews about traffic signal control or connected vehicles have been written, a systemic review of adaptive traffic signal control in a connected vehicle environment has not been made. Twenty-six eligible studies searched from six databases constitute the review. A quality evaluation was established based on previous research instruments and applied to the current review. The purpose of this paper is to critically review the existing methods of adaptive traffic signal control in a connected vehicle environment and to compare the advantages or disadvantages of those methods. Further, a systematic framework on connected vehicle based adaptive traffic signal control is summarized to support the future research. Future research is needed to develop more efficient and generic adaptive traffic signal control methods in a connected vehicle environment.

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Section: Control Strategies For Multiple Intersectionsmentioning

confidence: 99%

Section: Aimsun Ng [57] Spainmentioning

confidence: 99%

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An Adaptive Traffic Signal Control in a Connected Vehicle Environment: A Systematic Review

2017

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“…Maslekar et al [42] proposed CATS, a system that works in a way similar to those discussed in the previous section; however, the density of vehicles on each link is determined by the vehicles running a clustering algorithm. Clusters are formed based on the direction the vehicle will take at the upcoming intersection.…”

Section: Strategies Where Vehicles Are Active Participantsmentioning

confidence: 99%

A survey of vehicular communications for traffic signal optimization

Florin

Olariu

2015

Vehicular Communications

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“…Framework such as [10] which allows spectrum sharing opportunities for Inter Vehicle Communication (IVC) with the use of cooperative sensing, spectrum allocation and cooperation process is influential to promote robust primary user detection under fading conditions [11] [12].…”

Section: Introductionmentioning

confidence: 99%

Cognitive radio network in vehicular ad hoc network (VANET): A survey

et al. 2016

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Cognitive radio network and Vehicular Ad hoc Network (VANET) are recent emerging concepts in wireless networking. Cognitive radio network obtains knowledge of its operational geographical environment to manage sharing of spectrum between primary and secondary users, while VANET shares emergency safety messages among vehicles to ensure safety of users on the road. Cognitive radio network is employed in VANET to ensure the efficient use of spectrum, as well as to support VANET's deployment. Random increase and decrease of spectrum users, unpredictable nature of VANET, high mobility, varying interference, security, packet scheduling and priority assignment are the challenges encountered in a typical cognitive VANET environment. This paper provides survey and critical analysis on different challenges of cognitive radio VANET, with discussion on the open issues, challenges and performance metrics, for different cognitive radio VANET applications.

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CATS: An adaptive traffic signal system based on car-to-car communication

Cited by 48 publications

References 5 publications

An Adaptive Traffic Signal Control in a Connected Vehicle Environment: A Systematic Review

An Adaptive Traffic Signal Control in a Connected Vehicle Environment: A Systematic Review

A survey of vehicular communications for traffic signal optimization

Cognitive radio network in vehicular ad hoc network (VANET): A survey

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