Variable speed limit to improve safety near traffic congestion on urban freeways

Jo, Youngtae; Choi, Hyungdo; Jeon, Seongmin; Jung, Inhwa

doi:10.1109/icist.2012.6221605

Cited by 14 publications

(16 citation statements)

References 4 publications

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“…Therefore, it is important to set trigger conditions that justify the initiation of VSL. In this study, a VSL trigger condition based on a sudden speed drop of a particular section with respect to the successive upstream sections was used (Jo et al, 2012). Thus, if the average speed of a particular section dropped suddenly with respect to the two consecutive upstream sections, VSL was triggered, because a queue is formed with stations successively affected by the traffic jam from the bottleneck.…”

Section: Vsl Trigger Conditionmentioning

confidence: 99%

Variable speed limit: A microscopic analysis in a connected vehicle environment

Khondaker

Kattan

2015

Transportation Research Part C: Emerging Technologies

238

103

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a b s t r a c tThis paper presents a Variable Speed Limit (VSL) control algorithm for simultaneously maximizing the mobility, safety and environmental benefit in a Connected Vehicle environment. Development of Connected Vehicle (CV)/Autonomous Vehicle (AV) technology has the potential to provide essential data at the microscopic level to provide a better understanding of real-time driver behavior. This paper investigated a VSL control algorithm using a microscopic approach by focusing on individual driver's behavior (e.g., acceleration and deceleration) through the use of Model Predictive Control (MPC) approach. A multi-objective optimization function was formulated with the aim of finding a balanced trade-off among mobility, safety and sustainability. A microscopic traffic flow prediction model was used to calculate Total Travel Time (TTT); a surrogate safety measure Time To Collision (TTC) was used to measure instantaneous safety; and, a microscopic fuel consumption model (VT-Micro) was used to measure the environmental impact. Real-time driver's compliance to the posted speed limit was used to adjust the optimal speed limit values. A sensitivity analysis was conducted to compare the performance of the developed approach for different weights in the objective function and for two different percentages of CV. The results showed that with 100% penetration rate, the developed VSL approach outperformed the uncontrolled scenario consistently, resulting in up to 20% of total travel time reductions, 6-11% of safety improvements and 5-16% reduction in fuel consumptions. Our findings revealed that the scenario which optimized for safety alone, resulted in more optimum improvements as compared to the multi-criteria optimization. Thus, one can argue that in case of 100% penetration rates of CVs, optimizing for safety alone is enough to achieve simultaneous and optimum improvements in all measures. However, mixed results were obtained in case of lower % penetration rate which showed higher collision risk when optimizing for only mobility or fuel consumption. This indicates that with such % penetration rate, multi-criteria optimization is crucial to realize optimum and balanced benefits for the examined measures.

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Section: Vsl Trigger Conditionmentioning

confidence: 99%

Variable speed limit: A microscopic analysis in a connected vehicle environment

Khondaker

Kattan

2015

Transportation Research Part C: Emerging Technologies

238

103

View full text Add to dashboard Cite

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“…When a risky condition is identified, proactive safety countermeasures can be implemented to alleviate crash occurrence possibility. Among others, variable speed limits (Lee et al 2004(Lee et al , 2006cAbdel-Aty et al 2006a;Jo et al 2012;Li et al 2013), ramp metering (Abdel-Aty et al 2006b;Lee et al 2006b) and intelligent speed adaptation (Chen et al 2002;Carsten and Tate 2005;Servin et al 2008;Lai et al 2012) are effective measures that are known to improve traffic safety on motorways. These measures are intended to smoothen the traffic flow by increasing average time headways, reducing speed variation and subsequently improving traffic safety.…”

Section: Introductionmentioning

confidence: 99%

Application of a Rule-Based Approach in Real-Time Crash Risk Prediction Model Development Using Loop Detector Data

Pirdavani

Pauw

Brijs

et al. 2015

Traffic Injury Prevention

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Objectives: There is a growing trend in development and application of real-time crash risk prediction models within dynamic safety management systems. These real-time crash risk prediction models are constructed by associating crash data with the real-time traffic surveillance data (e.g. collected by loop detectors). The main objective of this paper is to develop a real-time risk model that will potentially be utilized within traffic management systems. This model aims to predict the likelihood of crash occurrence on motorways. Methods:In this study, the potential prediction variables are confined to traffic related characteristics. Given that the dependent variable (i.e. traffic safety condition) is dichotomous Conclusions:The findings of this study can be used to predict the likelihood of crash occurrence on motorways within dynamic safety management systems.

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“…Intelligent Transportation System (ITS) is considered to be the hope of solving problems of traffic congestion, which has already been becoming a world-wide difficult problem [1]. In fact, some references show that many problems related to traffic congestion, such vehicle guidance [2] and traffic scheduling [3], are NP-hard.…”

Section: Introductionmentioning

confidence: 99%

Evolution modeling of collective vehicles in vehicle ad hoc networks

Yang

Mao

2014

9th International Conference on Communications and Networking in China

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Vehicular ad hoc networks (VANETs) are considered as one of most promising technologies for facilitating intelligent transportation system (ITS) that includes road safety, traffic management, and infotainment dissemination. However, most of existing models cannot support the dynamic interactions between traveling of vehicles and road information. This paper presents an evolution model for VANETs, which can describe the dynamic interaction process between the group movement behaviors of vehicles and road information from environments or from neighborhood vehicles. Simulation of typical scenarios indicates that vehicle traffic follows a kind of blind obedience, which inspires us that, through the control or influence of the state of some vehicles, it can be expected to find some technical means to control or induce evolutionary behavior of the entire transportation.

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Variable speed limit to improve safety near traffic congestion on urban freeways

Cited by 14 publications

References 4 publications

Variable speed limit: A microscopic analysis in a connected vehicle environment

Variable speed limit: A microscopic analysis in a connected vehicle environment

Application of a Rule-Based Approach in Real-Time Crash Risk Prediction Model Development Using Loop Detector Data

Evolution modeling of collective vehicles in vehicle ad hoc networks

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