Implementation of the OPAC adaptive control strategy in a traffic signal network

Gartner, Nathan H.; Pooran, Farhad J.; Andrews, Christina M.

doi:10.1109/itsc.2001.948655

Cited by 89 publications

(61 citation statements)

References 2 publications

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“…Most of the literature falls into the following two classes: mathematical programming approach and simulation-based approach [9]. Mathematical programming approach employed a set of mixed integer linear programming (MILP) formulations to minimize the total intersection delays or to maximize the green bandwidth [10][11][12], while simulation-based approach are developed to represent the complicated interactions between traffic flow interactions and signal timing parameters [13][14][15].…”

Section: Introductionmentioning

confidence: 99%

Modelling and Simulation of Vehicle Speed Guidance in Connected Vehicle Environment

Wu¹,

Li²,

Zhang³

2015

Int. j. simul. model.

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Most previous works on urban traffic efficiency focused on the optimization of signal timings, assuming vehicle speed was fixed or followed a giving distribution. In this paper, based on the two way communication between vehicles and signal controller in Connected Vehicle (CV) environment, we developed two vehicle speed guidance methods to decrease delay and number of stops at intersections. By using Visual Basic and VISSIM COM interface, the simulation model consists of three modules: the signal timing, the vehicle speed guidance, and the dynamic optimization. A field intersection of Cao'an Road and Lvyuan Road in Shanghai is employed for simulation tests. Compared with the simulation results optimized by classical signal control method, the proposed methods can significantly decrease delays and number of stops, and improve the efficiency of traffic control.

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Section: Introductionmentioning

confidence: 99%

Modelling and Simulation of Vehicle Speed Guidance in Connected Vehicle Environment

Wu¹,

Li²,

Zhang³

2015

Int. j. simul. model.

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show abstract

“…Due to the exponential complexity of these solution algorithms, the control strategies (though conceptually applicable to a whole network) are not real-time feasible for more than one intersection. Hence, we end up with a number of decentralized (by intersection) optimal strategies, whose actions may be coordinated heuristically by a superior control layer (see, e.g., [26], [27]). On the other hand, CRONOS employs a heuristic global optimization method with polynomial complexity which allows for simultaneous consideration of several intersections, albeit for the price of specifying a local (rather than the global) minimum.…”

Section: Coordinated Traffic-responsive Strategies 1) Scootmentioning

confidence: 99%

“…Finally the traffic flow is by definition The ramp metering constraints are given by (18) while the queue constraints read (28) where are queue lengths. The total time spent in the whole system over a time horizon may be expressed (29) Thus, for given current (initial) state from corresponding measurements, and given disturbance predictions , the problem consists in specifying the ramp flows , so as to minimize the total time spent (29) subject to the nonlinear traffic flow dynamics (27) and the constraints (18) and (28).…”

Section: Nonlinear Optimal Ramp Metering Strategiesmentioning

confidence: 99%

Review of road traffic control strategies

Diakaki¹,

Kotsialos²,

Wang³

2003

Proc. IEEE

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“…Adaptive UTCs attempt to harmonise the interplay between all aspects of traffic (private vehicles, public transportation, cyclist and pedestrians) in areas ranging in size from a few city blocks to entire cities. Adaptive centralised systems have been developed that apply optimisation algorithms, such as RHODES [17], OPAC [9] and SCOOT [18,31].…”

Section: Introductionmentioning

confidence: 99%

An Intersection-Centric Auction-Based Traffic Signal Control Framework

Raphael¹,

Sklar²,

Maskell³

2017

Understanding Complex Systems

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Vehicular traffic on urban road networks is of great interest to those who monitor air quality. Combustion emissions from transport vehicles are a major contributor of air pollution. More specifically, the release of fine particulate matter which has been linked to premature deaths. Travel and idle time are two factors that influence the amount of pollution generated by traffic. Reducing idle and travel times would have a positive impact on air quality. Thus, it is increasingly crucial to manage intersections effectively, particularly in congested cities and across a range of different types of traffic conditions. A variety of market-based multi-agent traffic management mechanisms have been proposed to improve traffic flow. In many of these systems drivers "pay" to gain access to favourable road ways (e.g., minimise travel time). A major obstacle in adopting many of these mechanisms is that the necessary communication infrastructure does not yet exist. They rely on vehicle-toinfrastructure and/or vehicle-to-vehicle communications. In this work, we propose a market-based mechanism which relies on existing technology (and in some places this technology is already in use). Experimental results show that our market-based approach is better at reducing idle and travel times as compared to fixed-time signal controllers.

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Implementation of the OPAC adaptive control strategy in a traffic signal network

Cited by 89 publications

References 2 publications

Modelling and Simulation of Vehicle Speed Guidance in Connected Vehicle Environment

Modelling and Simulation of Vehicle Speed Guidance in Connected Vehicle Environment

Review of road traffic control strategies

An Intersection-Centric Auction-Based Traffic Signal Control Framework

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