Design and Predeployment Assessment of an Integrated Intersection Dilemma Zone Protection System

Park, Sung Yoon; Lan, Chien-Lun; Chang, Gang‐Len; Tolani, Devendra; Huang, Peter

doi:10.1061/(asce)te.1943-5436.0000894

Cited by 10 publications

(4 citation statements)

References 14 publications

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“…The DZPS deployed for the field evaluation was developed in our previous study (19), which has the following key features (Figure 1): Long-range microwave detectors for tracking the speed evolution of each vehicle within the detection zone. The detection zone covers the roadway segment from the stop line to the upper boundary of identified dilemma zones.…”

Section: Design Of Dzpsmentioning

confidence: 99%

“…The DZPS deployed for the field evaluation was developed in our previous study ( 19 ), which has the following key features (Figure 1):…”

Section: Design Of Dzpsmentioning

confidence: 99%

“…The key computation modules, system functions, and driver responses are developed with C# programming language; whereas the simulation kernel is implemented with VISSIM. The simulation platform has been carefully calibrated with field data and adopted the concept from Park et al ( 19 ) to approximate the effect of advisory speeds on traffic flow speeds.…”

Section: System Design Extension With Speed Harmonization Functionmentioning

confidence: 99%

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Field Evaluation of the Dilemma Zone Protection System at Suburban Intersections

Park

Lan

Rao

et al. 2018

Transportation Research Record: Journal of the Transportation R

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Despite the fact that both traffic researchers and highway agencies have devoted considerable efforts over the past few decades to improving intersection safety, development of effective strategies to contend with this vital issue remains a challenging task. This research presents the field evaluation results of a Dilemma Zone Protection System (DZPS) implemented at two hazardous intersections in Maryland, U.S.A. The deployed DZPS can offer both proactive and reactive protections to drivers approaching a signalized intersection during a yellow phase. Field evaluations conducted at two intersections with DZPS deployed confirmed a 100% detection rate for red-light-running vehicles, timely activation of the all-red extension to prevent right-angle crashes, and effectively discouraging drivers from taking aggressive “pass” decisions during the yellow or all-red phases. The potential extension of the DZPS for speed harmonization on arterial traffic flows is also discussed.

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Section: Design Of Dzpsmentioning

confidence: 99%

“…The DZPS deployed for the field evaluation was developed in our previous study ( 19 ), which has the following key features (Figure 1):…”

Section: Design Of Dzpsmentioning

confidence: 99%

Section: System Design Extension With Speed Harmonization Functionmentioning

confidence: 99%

See 1 more Smart Citation

Field Evaluation of the Dilemma Zone Protection System at Suburban Intersections

Park

Lan

Rao

et al. 2018

Transportation Research Record: Journal of the Transportation R

Self Cite

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show abstract

“…Based on field-collected or simulated data, existing studies have reported the effectiveness of both proactive and reactive dilemma zone projection strategies in reducing red-light-running vehicles ( 9 , 10 ) and the number of side-angle crashes at intersections ( 11 , 12 ). However, preventing a rear-end crash with real-time signal control remains, in contrast, a challenging issue in the literature ( 13 ). Although field experiments ( 11 ) showed that signal green-extension has some potential for reducing rear-end crash rate, a more effective strategy for influencing driver behaviors has not been fully studied yet.…”

mentioning

confidence: 99%

Smart Signal Control System for Accident Prevention and Arterial Speed Harmonization under Connected Vehicle Environment

Yang

Chang

Zhang

et al. 2019

Transportation Research Record: Journal of the Transportation R

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The intent of this paper is to develop a system that can integrate connected vehicle (CV) data and traffic sensor information to concurrently address the need to improve urban arterial safety and mobility. Under the mixed traffic pattern of CVs and human-driven vehicles (HVs), the system aims to achieve three primary objectives: proactively preventing rear-end collision, reactively protecting side-street traffic from red-light-running vehicles, and effectively facilitating speed harmonization along local arterials. The embedded safety function will integrate CV and roadside sensor data to compute the distribution of dilemma zones for vehicles of different approaching speeds in real-time. Such data fusion will enable the proposed system to offer the advice of either “stop” or “go” to both CVs and HVs so as to prevent rear-end collisions and side-angled crashes. Given the locations and speeds of CVs, and the number of vehicles monitored by sensors, the proposed system can further compute the time-varying intersection queue length. Then the embedded mobility function will optimize the arterial signal plan in real-time and produce the speed advisory for approaching vehicles to facilitate their progression through intersections. Results from extensive simulation experiments confirm the effectiveness of the proposed system in both reducing potential intersection crash rates and improving arterial progression efficiency. The proposed control framework also proves the effectiveness of using dilemma zone protection sensors for traffic mobility improvement.

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An integrated intelligent intersection control system for preventing rear-end and angled crashes: System design and deployment results

Chen,

Chang,

Park

et al. 2023

Accident Analysis & Prevention

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Design and Predeployment Assessment of an Integrated Intersection Dilemma Zone Protection System

Cited by 10 publications

References 14 publications

Field Evaluation of the Dilemma Zone Protection System at Suburban Intersections

Field Evaluation of the Dilemma Zone Protection System at Suburban Intersections

Smart Signal Control System for Accident Prevention and Arterial Speed Harmonization under Connected Vehicle Environment

An integrated intelligent intersection control system for preventing rear-end and angled crashes: System design and deployment results

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