Field Evaluation of the Dilemma Zone Protection System at Suburban Intersections

Author(s):  
Sung Yoon Park ◽  
Chien-Lun Lan ◽  
Ranteg S. Rao ◽  
Gang-Len Chang

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.

Author(s):  
Muhammad Marizwan Abdul Manan ◽  
Syed Tajul Malik Syed Tajul Arif ◽  
Ho Jen Sim ◽  
Norfaizah Mohamad Khaidir ◽  
Hawa Mohamed Jamil ◽  
...  

Author(s):  
Montasir M. Abbas ◽  
Qichao Wang ◽  
Bryan Higgs ◽  
Donia Zaheri Sarabi ◽  
Sahar Ghanipoor Machiani ◽  
...  

2017 ◽  
Vol 62 ◽  
pp. 117-126 ◽  
Author(s):  
Myunghoon Ko ◽  
Srinivas Reddy Geedipally ◽  
Troy Duane Walden ◽  
Robert Carl Wunderlich

Author(s):  
Min-Wook Kang ◽  
Moynur Rahman ◽  
Joyoung Lee

The objective of the present study is to see how the dilemma zone length and location are related to intersection safety at rural high-speed signalized intersections. For that, dilemma zones at 30 rural signalized intersection approaches where similar traffic operations and land-use conditions are present were identified, and traffic conflicts associated with the dilemma zones were investigated. Drivers’ stop or go behaviors as well as vehicle dynamics (e.g., vehicle speeds and locations) during the yellow and red clearance intervals were collected and analyzed to determine the dilemma zone length and location of each site. Red-light running violations and vehicles’ abrupt stops were also collected to investigate the relationship between such conflicts and dilemma zone length and location. As a result, two dilemma zone conflict models were developed. The analysis results show that the conflict models are accurate enough to predict the safety level of high-speed signalized intersections using the two dilemma zone variables. Results show that the chance of intersection angle conflicts increases if the dilemma zone is located farther from the intersection stop bar. Results also show that there would be a high chance of rear-end conflicts if the dilemma zone length is longer. The models were validated with additional datasets, and acceptable root means square error and mean absolute percentage error values were obtained as a result.


2016 ◽  
Vol 2016 ◽  
pp. 1-7
Author(s):  
Yao Wu ◽  
Jian Lu ◽  
Hong Chen ◽  
Qian Wan

Red-light running behaviors of bicycles at signalized intersection lead to a large number of traffic conflicts and high collision potentials. The primary objective of this study is to model the cyclists’ red-light running frequency within the framework of Bayesian statistics. Data was collected at twenty-five approaches at seventeen signalized intersections. The Poisson-gamma (PG) and Poisson-lognormal (PLN) model were developed and compared. The models were validated using Bayesianpvalues based on posterior predictive checking indicators. It was found that the two models have a good fit of the observed cyclists’ red-light running frequency. Furthermore, the PLN model outperformed the PG model. The model estimated results showed that the amount of cyclists’ red-light running is significantly influenced by bicycle flow, conflict traffic flow, pedestrian signal type, vehicle speed, and e-bike rate. The validation result demonstrated the reliability of the PLN model. The research results can help transportation professionals to predict the expected amount of the cyclists’ red-light running and develop effective guidelines or policies to reduce red-light running frequency of bicycles at signalized intersections.


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