Real-time Traffic Signal Control for Isolated Intersection, using Car-following Logic under Connected Vehicle Environment

Chandan, K.; Seco, Álvaro; Silva, Ana Bastos

doi:10.1016/j.trpro.2017.05.207

Cited by 27 publications

(19 citation statements)

References 12 publications

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“…Due to the lack of field data of CAVs, the parameters of ACC in equation 10 connected range was widely adopted in the previous studies [37]. Communication delay was set as 0.1 s, which is defensive to avoid a possible accident.…”

Section: Analysis Of Simulation Resultsmentioning

confidence: 99%

Influence of Lane Policies on Freeway Traffic Mixed with Manual and Connected and Autonomous Vehicles

Hua

Wang

et al. 2020

Journal of Advanced Transportation

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Connected and autonomous vehicles (CAVs) have become the highlights of traffic. Researchers in this field have proposed various traffic management measures to enhance the capacity and efficiency of traffic with CAVs, especially mixed traffic of CAVs and manual vehicles (MVs). Exclusive lane setting is included. However, exclusive lane policy-related researches for mixed traffic of CAVs and MVs were very limited, and the influence of number and location of exclusive lanes on the mixed traffic was unclear. To fill this gap, this paper aims to study the influence of different exclusive lane policies on mixed traffic and provide recommended lane policies under various traffic volumes and CAV penetration rates. Freeways with two lanes and three lanes in a single direction were taken into consideration, and sixteen lane policies were proposed. Then different lane policies were simulated with a new proposed cellular automata (CA) model, and properties including flux, average speed, and CAVs degradation were analyzed to evaluate the traffic efficiency of each lane policy. The results show that CAV exclusive lanes can improve the capacity, while MV exclusive lanes seem helpless for capacity improvement. Seven lane policies, including GC, GM, and CM for two-lane freeways and GCG, CGC, and CCM for three-lane freeways, outperform the others in terms of average speed. In addition, exclusive lanes can reduce the probability that CAVs degenerate to AVs. Our findings may help to optimize freeways’ lane policies and improve the efficiency of heterogeneous traffic mixed with CAVs and MVs.

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Section: Analysis Of Simulation Resultsmentioning

confidence: 99%

Influence of Lane Policies on Freeway Traffic Mixed with Manual and Connected and Autonomous Vehicles

Hua

Wang

et al. 2020

Journal of Advanced Transportation

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“…Chandan et al [3] proposed a real-time traffic signal control algorithm using the CV information (CVSC). This algorithm assumed 100% of the CVP and used speeds and positions of all vehicles at every time-step.…”

Section: Basic Cvsc Strategy and Latest Upgradesmentioning

confidence: 99%

“…In fact, if the CV information is used in real-time traffic signal systems, the performance of the traffic system should improve. Chandan et al [3] proposed a connected vehicle signal control (CVSC) algorithm for an isolated intersection, which utilized the speeds and positions of the CVs. Various traffic scenarios were tested assuming 100% CV penetration (CVP).…”

Section: Introductionmentioning

confidence: 99%

“…CV-based traffic applications have been only deployed at pilot level [7]. As CV's market penetration will continue to increase over time, the current paper further explores the potential benefits of the CV technology by extending the research of Chandan et al [3] to evaluate its potential under lower CVPs.…”

Section: Introductionmentioning

confidence: 99%

“…However, it is believed that, during the period of the progressive increase of the CVP in the market, utilizing the vehicle information from both CVs and the existing ILDs, can be an asset in improving the accuracy of the NCV's information estimation. Hence, the current paper builds on the work done by Chandan et al [3] and tackles the lower CVPs situations by also considering traditional upstream ILD information. The contributions of this paper are twofold.…”

Section: Introductionmentioning

confidence: 99%

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A Real-time Traffic Signal Control Strategy Under Partially Connected Vehicle Environment

Chandan

Seco

Silva

2019

PROMET

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The performance of a traffic system tends to improve as the percentage of connected vehicles (CV) in total flow increases. However, due to low CV penetration in the current vehicle market, improving the traffic signal operation remains a challenging task. In an effort to improve the performance of CV applications at low penetration rates, the authors develop a new method to estimate the speeds and positions of non-connected vehicles (NCV) along a signalized intersection. The algorithm uses CV information and initial speeds and positions of the NCVs from loop detectors and estimates the forward movements of the NCVs using the Gipps’ car-following model. Calibration parameters of the Gipps’ model were determined using a solver optimization tool. The estimation algorithm was applied to a previously developed connected vehicle signal control (CVSC) strategy on two different isolated intersections. Simulations in VISSIM showed the estimation accuracy higher for the intersection with less lanes. Estimation error increased with the decrease in CV penetration and decreased with the decrease in traffic demand. The CVSC strategy with 40% and higher CV penetration (for Intersection 1) and with 20% and higher CV penetration (for Intersection 2) showed better performance in reducing travel time delay and number of stops than the EPICS adaptive control.

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An Adaptive and Coordinated Traffic Signal Scheme for Greener Transport 4.0

Weerasundara

Udugahapattuwa

Munasingha

et al. 2022

Lecture Notes in Electrical Engineering

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Real-time Traffic Signal Control for Isolated Intersection, using Car-following Logic under Connected Vehicle Environment

Cited by 27 publications

References 12 publications

Influence of Lane Policies on Freeway Traffic Mixed with Manual and Connected and Autonomous Vehicles

Influence of Lane Policies on Freeway Traffic Mixed with Manual and Connected and Autonomous Vehicles

A Real-time Traffic Signal Control Strategy Under Partially Connected Vehicle Environment

An Adaptive and Coordinated Traffic Signal Scheme for Greener Transport 4.0

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