Technical Papers
Jul 18, 2016

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

Publication: Journal of Transportation Engineering
Volume 142, Issue 12

Abstract

Despite the fact that both traffic researchers and highway agencies have devoted considerable efforts over the past few decades to improving intersection safety, the development of effective strategies remains a challenging task. This research presents an integrated dilemma zone protection system (DZPS) for contending with the safety issues caused by the presence of a dilemma zone, a primary factor contributing to the rear-end collisions or side-angle crashes at intersections, especially at those experiencing high-speed traffic flows. The entire paper includes three parts: (1) development of an integrated system for protecting vehicles within the dilemma zone; (2) procedures to calibrate those key system parameters with field data at a candidate intersection; and (3) design of a per-deployment assessment process for evaluating such a design prior to its field deployment. The proposed DZPS, developed with a target intersection’s traffic characteristic data and geometric constraints, consists of three principal modules: variable message sign (VMS) for advanced warning or speed display, wide-range sensors to track individual vehicles in the dilemma zone, and a decision module to execute the all-red extension function. Based on a proactive design notion, the proposed DZPS can first use the VMS to inform the approaching drivers of a yellow or red phase ahead and prepare to stop, or to display the speed of the discharging traffic flows from the stop line during a green phase. The information will help compliant drivers to adjust their speeds in a timely manner so as to avoid rear-end collisions. For those aggressive/noncompliant vehicles, the DZPS system’s wide-range sensors will track the evolution of their speeds and locations within the dilemma zone at the interval of every 0.1 s, and then determine whether or not an all-red extension call shall be granted to prevent such vehicles from incurring potential side-angled crashes with vehicles from the side street. Recognizing that reliable evaluation of a deployed DZPS’s effectiveness needs the field data over a sufficiently long period, this study has presented the process for conducting a predeployment assessment with well-calibrated simulation experiments. The effectiveness of the proposed system, demonstrated with the results of the case study at the intersection of highway U.S. 301 at Croom Station Road, Upper Marlboro, Maryland, has also been summarized in this paper. Overall, the proposed system, from both the proactive and reactive perspectives to protect drivers, exhibits quite promising properties for use in practice.

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Acknowledgments

Work presented in this paper was supported by DOT Phase IIB SBIR Contract No. DTRT57-14-C-10024. The authors would like to thank the personnel of Maryland State Highway Administration for their continuing support, in particular, Mr. Cedric Ward, Mr. Dilip Patel, Dr. Ruihua Tao, Mr. Venu Nemani, and Mr. Matamba Kabengele.

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Published In

Go to Journal of Transportation Engineering
Journal of Transportation Engineering
Volume 142Issue 12December 2016

History

Received: Oct 29, 2015
Accepted: May 20, 2016
Published online: Jul 18, 2016
Published in print: Dec 1, 2016
Discussion open until: Dec 18, 2016

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Authors

Affiliations

Sung Yoon Park [email protected]
Graduate Research Assistant, Dept. of Civil and Environmental Engineering, Univ. of Maryland, 1173 Glenn L. Martin Hall, College Park, MD 20742 (corresponding author). E-mail: [email protected]
Chien-Lun Lan [email protected]
Graduate Research Assistant, Dept. of Civil and Environmental Engineering, Univ. of Maryland, 1173 Glenn L. Martin Hall, College Park, MD 20742. E-mail: [email protected]
Gang-Len Chang, Ph.D. [email protected]
Professor, Dept. of Civil and Environmental Engineering, Univ. of Maryland, 1173 Glenn L. Martin Hall, College Park, MD 20742. E-mail: [email protected]
Devendra Tolani, Ph.D. [email protected]
Principal Scientist, Intelligent Automation, Inc., 15400 Calhoun Dr. Suite 190, Rockville, MD 20855. E-mail: [email protected]
Peter Huang, Ph.D. [email protected]
P.E.
Highway Research Engineer, Federal Highway Administration, Turner-Fairbank Highway Research Center, 6300 Georgetown Pike, McLean, VA 22101. E-mail: [email protected]

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