Authors: Jie Yu & Yang Lu
Date: Nov. 14, 2008
Download (Methods-for-Identifying-hazardous-Locations-A-Comparison-study.pptx)
Authors: GANG-LEN CHANG, MARK L. FRANZ & YANG LU
Date: Aug. 2012
Abstract:
The goal of this research was to develop a system that utilizes the dynamic detection technology and to evaluate the performance of this system. The first step of this study was to select an intersection experiencing a high frequency of crashes that could be remedied by a dilemma-zone protection system. Next, a dynamic dilemma-zone protection system was designed using three microwave sensors to track vehicles approaching the intersection on the major approach. The data collected by these sensors were then used in real-time to control the signal logic, providing green extensions and all-red extensions when pre-defined parameters of detected vehicles are met. To evaluate the performance of the system design and the appropriateness of the associated parameters, a field test was conducted. The data analysis included the identification of false called all-red extensions (related to efficiency) and missed all-red extensions (related to safety) to assess the overall performance of the newly installed dynamic dilemma zone protection system.
Download (MD-12-SP708B4J_Dilemma_Zone_Warning_System_Final_Report.pdf)
Authors: WOON KIM & GANG-LEN CHANG
Date: July 2012
Abstract:
This project was focused on identifying potential areas for Maryland’s Coordinated Highway Action Response Team (CHART) to enhance its incident management efficiency and to maximize the resulting benefits under existing resource constraints. Using the information from CHART and the Maryland Accident Analysis Reporting System (MAARS), this research has identified critical factors affecting CHART’s efficiency in incident response and clearance, and produced several reliable models to improve its performance. This research has also produced an optimal allocation model that will enable each operational center to best deploy available patrol vehicles along its responsible highway networks and to select the most cost-benefit fleet size under the resource constraints.
CHART can also apply the set of prediction models developed in this project to estimate the required clearance duration of a detected incident, thereby minimizing the resulting congestion within the impact boundaries via some real-time traffic control and information strategies. Incorporating any of those developed models into current practice will undoubtedly enhance CHART’s operational quality and significantly increase its effectiveness in minimizing non-recurrent congestion in this region.
Authors: WOON KIM , MARK FRANZ & GANG-LEN CHANG
Date: April 2012
Abstract:
To improve traffic conditions on major highways plagued by non-recurrent congestion, most highway agencies have invested their resources in two principal operational programs: incident response and clearance, and traffic impact management. However, even with the wide-spread implementation of such programs, effectively minimizing the traffic impact caused by multi-lane blocked incidents remains a critical and challenging issue for most highway agencies. This research developed a multi-criteria decision-support system for determining the necessity of detour operations during incident management from an overall socio-economic benefit perspective. The developed system enables responsible agencies to consider all associated critical factors with preferred weights, including the direct benefits and operational costs, safety and reliability, accessibility of detour, and acceptability by travelers. This research is part of our developed integrated incident managing system for SHA that has various essential functions, ranging from prediction of incident duration to estimation of operational benefits. This decision module, based on the AHP (analytical hierarchical process) methodology, features its computing efficiency and operational flexibility, allowing users to make necessary revisions if more data are available or more criteria need to be included.
Authors: XIAODONG ZHANG & GANG-LEN CHANG
Date: Nov. 2010
Abstract:
Due to rapid traffic growth in recent years, the Baltimore Beltway (I-695) is now experiencing considerable congestion even after the normal peak periods. Hence, identifying effective tools for contending with worsening congestion on I-695 has emerged as a priority task for the Maryland State Highway Administration (SHA). This study expanded the current traffic simulation laboratory developed by SHA and the University of Maryland College Park (which includes simulators for I-495, I-270, and I-95), and began the construction of the I-695 simulator for use by SHA engineers in performing Baltimore area traffic studies. The simulator system contains the following principal components: (1) an intelligent system interface for input, output, and potential applications; (2) a GIS database for key information related to all network geometric features, driver characteristics, and traffic volume distributions; (3) a microscopic simulation database to model traffic behavior and the daily evolution of traffic patterns; and (4) a knowledge-based expert system module to project the durations of detected incidents. The completed I-695 traffic simulator will be part of the Traffic Simulator System sponsored by SHA, which can be used independently by traffic engineers for the Baltimore area or integrated with other existing simulators (e.g., I- 495, I-270) to analyze the regionwide traffic conditions between the Washington and Baltimore metropolises.
Download (MD-10-SP808B4M-Traffic-Simulator-for-I-695-Report.pdf)
Authors: Dr. Jie Yu, Dr. H. W. Ho, & Dr. Gang-Len Chang
Date: April 2010
Abstract:
This study offers a comprehensive review of the safety improvement programs adopted by Maryland, FHWA (SafetyAnalyst), and other state agencies, focusing mainly on the following imperative issues: (1) screening and ranking high-crash locations, (2) prioritizing cost-effective projects for safety improvement; and (3) conducting before/after studies for project implementation plans. Based on the resultsof this review, we recommend that the following enhancements be incorporated into the existing safety improvement program in Maryland: (1) develop a multi-criteria method to enhance the current procedures used by the Maryland SHA to select and rank high-crash locations; (2) using SPFs and the observed crash frequency to reliably estimate the site-specific crash frequency: (3) developing and calibrating SPFs for Maryland:; (4) using negative binomial distribution to represent the variation of crash frequency; (5) developing and calibrating the crash reduction functions with local data; (6) including secondary costs/benefits in the evaluation; (7) using SPFs of the after period in estimating the do-nothing crash frequency; and (8) Employing nonlinear models for estimating future traffic volume.
Download (MD-10-SP808B4C-Crash-Analysis-and-Prediction-Phase-I-Report.pdf)
Authors: Gang-Len Chang & Sung Yoon Park
Date: Dec. 2010
Abstract:
This report presents the research results of two ITS applications: The first is an innovative field implementation of variable speed limit (VSL) control for a recurrently congested highway segment, and the second is a laboratory experiment of a lane-based signal merge (LBSM) control for highway work zone. VSL control is an advanced traffic management strategy (ATMS) that has received increasing interest from the transportation community since the advent of intelligent transportation systems (ITS) in the 1980s. A complete VSL system typically comprises a set of traffic sensors to collect flow and speed data, several properly located variable message signs (VMSs) to display messages, a reliable control algorithm to compute the optimal speed limit for all control locations, a real-time database, and a communications system to convey information between all principal modules. The field experimental results over a 10-week period clearly indicate that VSL control supplemented with the display of estimated travel times can significantly increase both the average speed and throughput for highway segments plagued by recurrent congestion. LBSM is a new merge control strategy that employs a signal at the proper merging point to assign the right-of-way for traffic in each lane if the approaching volume exceeds 800 vehicles per hour per lane. The results of extensive simulation evaluation clearly indicate that the design, even preliminary in nature, can significantly increase the throughput and reduce the average vehicle delay, average vehicle stop delay, and the number of vehicle stops for highway work zones under congested traffic conditions.
Authors: Gang- Len Chang & Nan Zou
Date: May. 1, 2009
Abstract:
This study aims to assist the Maryland State Highway Administration (SHA) in evaluating the performance of License Plate Recognition (LPR) technology and its reliability to support the travel time estimation applications on local arterials. The evaluation results will help SHA determine the effectiveness of using the LPR technology for improving work-zone operations. In this study, the research team at the University of Maryland designed a LPR-based real-time travel time estimation system and deployed the system at four different sites on southbound MD201 (Kenilworth Ave.). The evaluation results show that the LPR unit is able to capture about 65.9% of the passing traffic and correctly recognize about 72.5% of those captured plate images. The travel time estimation system was able to match license plates from 36.3% of the through traffic when most traffic volumes passed both LPR sites in the demonstration Period-1. The availability of matched license plates dropped significantly when there exists one or more major intersection and ramps between the two LPR sites.
Download (MD-09-SP708B4G_License-Plate-Recognition-Technology-Evaluation-Report.pdf)
Authors: DR. GANG-LEN CHANG & DR. NAN ZOU
Date: Dec. 29, 2009
Abstract:
This project produced an integrated computer system that enables engineers at the Maryland State Highway Administration to analyze the impact of a work-zone operational plan and to estimate the resulting cost/benefit. The proposed system consists of an intelligent user-interface, an analytical computing module, a microscopic simulation model, and an output analysis module. Depending on the nature of a proposed work-zone plan, one can either perform the preliminary estimate with the embedded analytical module or conduct an in-depth cost-benefit analysis with its simulation model. To capture the unique behavioral patterns of local drivers in response to perceived work-zone operations, this study conducted a series of field observations on car-following, lane-changing, and headway distributions among vehicles approaching lane-closure locations, and applied all field-observed information in calibrating key model parameters. This is to ensure that all analysis results produced from the proposed work-zone analysis program accurately reflect the actual benefits, costs, and resulting traffic impacts on Maryland’s highway.