Sustainability assessments of cooperative vehicle intersection control at an urban corridor

Lee, Joyoung; Park, Byungkyu; Malakorn, Kristin; So, Jaehyun

doi:10.1016/j.trc.2012.09.004

Cited by 138 publications

(81 citation statements)

References 14 publications

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“…An important finding of this research was the high correlation between the frequency of deceleration rates (below 4.86 m/s 2 ) and the observed crash rates. Lee et al (2013) estimated the number of traffic conflicts using VISSIM and SSAM to investigate safety impacts of the Cooperative Vehicle Intersection Control (CVIC) algorithm that allows drivers passing through urban coordinated intersections in an arterial without stopping at any traffic signals. This study concluded that the CVIC system would reduce the number of rear-end crash conflicts events by 30-87%.…”

Section: Literature Reviewmentioning

confidence: 99%

Exploring the association of rear-end crash propensity and micro-scale driver behavior

et al. 2016

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Section: Literature Reviewmentioning

confidence: 99%

Exploring the association of rear-end crash propensity and micro-scale driver behavior

et al. 2016

View full text Add to dashboard Cite

“…This concept is widely accepted by researchers for its efficiency improvements (throughput, average delay, etc. )and many improved approaches are proposed [10][11][12][13][14][15][16][17], which can be categorized into planning-based approaches [9][10][11][12] and hybrid approaches [13][14][15][16][17]. 1) Planning-based approaches…”

Section: Intersection Managementmentioning

confidence: 99%

“…The difficulty of planning method is to generate trajectories for all cars, which is a great challenge to the computing capability of intelligent intersection. J. Lee et al [12] argued trajectory generation is a complex large-scale nonlinear constrained optimization problem that can be performed using optimization methods, such as Active-set Method [18], Interior Point Method [18] and Genetic Algorithm [19]. Dresner and Stone [9] modeled a "reservation based" approach to intersection management enabled by driverless technology.…”

Section: Intersection Managementmentioning

confidence: 99%

Review on Driverless Traffic from Management Perspective

Chen

2017

MATEC Web Conf.

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Abstract. The move towards automated driving is gaining ground. This paper reviews the development process of self-driving technology and discusses the safety and efficiency advantages of autonomous vehicles. The discussion shows that the existing traffic management system, including transport infrastructures and regulations, should be changed accordingly to maximize the advantages of autonomous driving. Thus, this paper subsequently gives an insight of the traffic management from three aspects: fully self-driving traffic infrastructures, mixed traffic infrastructures and regulations. First, it is summarized in detail what should be adjusted in intersections, parking lots, pedestrian crossings, ramps, signs and markings. With the transformation of traffic infrastructures, the advantages of driverless car will be more pronounced on account of increased capacity, reduced delay and land use. Also, this paper indicates that the implementations of strict product liability for self-driving car manufacturers and no-fault tort liability for users are applicable to automated vehicle accidents.

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“…First, by taking advantage of the rapid emergence of Connected Automated Vehicles (CAVs) [14,15,16,17], it has become feasible to automate routing decisions, thus solving a system-centric forward problem in which all CAVs (bypassing driver decisions) cooperate to optimize the overall system performance. Second, we propose a modification to existing GPS navigation algorithms recommending to all drivers socially optimal routes.…”

Section: Introductionmentioning

confidence: 99%

The price of anarchy in transportation networks by estimating user cost functions from actual traffic data

Zhang

Pourazarm

Cassandras

et al. 2016

2016 IEEE 55th Conference on Decision and Control (CDC)

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Among the many functions a Smart City must support, transportation dominates in terms of resource consumption, strain on the environment, and frustration of its citizens. We study transportation networks under two different routing policies, the commonly assumed selfish user-centric routing policy and a socially-optimal system-centric one. We consider a performance metric of efficiency -the Price of Anarchy (PoA) -defined as the ratio of the total travel latency cost under selfish routing over the corresponding quantity under socially-optimal routing. We develop a data-driven approach to estimate the PoA, which we subsequently use to conduct a case study using extensive actual traffic data from the Eastern Massachusetts road network. To estimate the PoA, our approach learns from data a complete model of the transportation network, including origin-destination demand and user preferences. We leverage this model to propose possible strategies to reduce the PoA and increase efficiency.

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Sustainability assessments of cooperative vehicle intersection control at an urban corridor

Cited by 138 publications

References 14 publications

Exploring the association of rear-end crash propensity and micro-scale driver behavior

Exploring the association of rear-end crash propensity and micro-scale driver behavior

Review on Driverless Traffic from Management Perspective

The price of anarchy in transportation networks by estimating user cost functions from actual traffic data

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