Download or read book Modeling Freeway Incident Clearance Time written by Mu-Han Wang and published by . This book was released on 1991 with total page 218 pages. Available in PDF, EPUB and Kindle. Book excerpt: Application to Chicago expressways.
Download or read book Freeway Incident Management Analyzing the Effectiveness of Freeway Service Patrols on Incident Clearance Times written by Naima Islam and published by . This book was released on 2021 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Traffic incidents caused by vehicular crashes, roadway construction, disabled and abandoned vehicles, extreme weather conditions, and planned special events, comprise about half of all traffic congestion. As the duration of traffic incidents increases, it increases the probability of severe congestion, secondary crashes, traveler delay, travel time variability, emissions and fuel consumption, air pollution, economic and social inadequacy, as well as reduces the roadway capacity and the reliability of the whole transportation system. Freeway service patrol (FSP) programs have been considered as an effective Traffic Incident Management (TIM) program for reducing incident duration and thereby minimizing the adverse effects of traffic incidents. The overarching goal of this dissertation is to assess the impact of Alabama Service and Assistant Patrol (ASAP) program based on a unique compiled dataset. The specific objectives are: (1) to merge and match four different datasets, including response data, crash data, traffic volume data and ASAP data; (2) to identify the explanatory variables of incident clearance times with an emphasis on the ASAP coverage area information; (3) to assess duration data using hazard-based duration models with the aim of determining which modeling method best fits the data; and (4) to verify the spatial transferability for the impact of ASAP coverage area. To achieve the research objectives, this dissertation is divided into three parts. The first part describes the Weibull distribution with gamma heterogeneity in identifying the explanatory variables of incident clearance times. The second part compares two advanced econometric modeling methods (random parameters and latent class) in identifying which modeling method best fits the data. The third part employs random parameters modeling method to verify the spatial transferability of the impact of the ASAP program across the state. Ultimately, this dissertation presents a data-driven assessment of the ASAP program in the state. The distinctive contribution of this research is to provide a better understanding of the significant variables that influenced the freeway incident clearance times. The findings of this dissertation are anticipated to assist TIM agencies in formulating and implementing strategic plans to reduce freeway incident clearance times while maximizing the advantages of the ASAP program.
Download or read book Prediction Models for Incident Clearance Time for Borman Expressway written by Samer Madanat and published by . This book was released on 1997 with total page 120 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Factors Influencing Incident Clearance Times written by Mu-Han Wang and published by . This book was released on 1991 with total page 26 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Developing a Real time Freeway Incident Detection Model Using Machine Learning Techniques written by Moggan Motamed and published by . This book was released on 2016 with total page 280 pages. Available in PDF, EPUB and Kindle. Book excerpt: Real-time incident detection on freeways plays an important part in any modern traffic management operation by maximizing road system performance. The US Department of Transportation (US-DOT) estimates that over half of all congestion events are caused by highway incidents rather than by rush-hour traffic in big cities. An effective incident detection and management operation cannot prevent incidents, however, it can diminish the impacts of non-recurring congestion problems. The main purpose of real-time incident detection is to reduce delay and the number of secondary accidents, and to improve safety and travel information during unusual traffic conditions. The majority of automatic incident detection algorithms are focused on identifying traffic incident patterns but do not adequately investigate possible similarities in patterns observed under incident-free conditions. When traffic demand exceeds road capacity, density exceeds critical values and traffic speed decreases, the traffic flow process enters a highly unstable regime, often referred to as “stop-and-go” conditions. The most challenging part of real-time incident detection is the recognition of traffic pattern changes when incidents happen during stop-and-go conditions. Recently, short-term freeway congestion detection algorithms have been proposed as solutions to real-time incident detection, using procedures known as dynamic time warping (DTW) and the support vector machine (SVM). Some studies have shown these procedures to produce higher detection rates than Artificial Intelligence (AI) algorithms with lower false alarm rates. These proposed methods combine data mining and time series classification techniques. Such methods comprise interdisciplinary efforts, with the confluence of a set of disciplines, including statistics, machine learning, Artificial Intelligence, and information science. A literature review of the methodology and application of these two models will be presented in the following chapters. SVM, Naïve Bayes (NB), and Random Forest classifier models incorporating temporal data and an ensemble technique, when compared with the original SVM model, achieve improved detection rates by optimizing the parameter thresholds. The main purpose of this dissertation is to examine the most robust algorithms (DTW, SVM, Naïve Bayes, Decision Tree, SVM Ensemble) and to develop a generalized automatic incident detection algorithm characterized by high detection rates and low false alarm rates during peak hours. In this dissertation, the transferability of the developed incident detection model was tested using the Dallas and Miami field datasets. Even though the primary service of urban traffic control centers includes detecting incidents and facilitating incident clearance, estimating freeway incident durations remains a significant incident management challenge for traffic operations centers. As a next step this study examines the effect of V/C (volume/capacity) ratio, level of service (LOS), weather condition, detection mode, number of involved lanes, and incident type on the time duration of traffic incidents. Results of this effort can benefit traffic control centers improving the accuracy of estimated incident duration, thereby improving the authenticity of traveler guidance information.
Download or read book Evaluation of Traffic Incident Timeline to Quantify the Performance of Incident Management Strategies written by Henrick Joseph Haule and published by . This book was released on 2018 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Transportation agencies are introducing new strategies and techniques that will improve traffic incident management. Apart from other indicators, agencies measure the performance of the strategies by evaluating the incidents timeline. An effective strategy has to reduce the length of the incident timeline. An incident timeline comprises various stages in the incident management procedure, starting when the incident was detected, and ending when there is the recovery of normal traffic conditions. This thesis addresses three issues that are related to the traffic incident timeline and the incident management strategies. First, co-location of responding agencies has not been investigated as other incident management measures. Co-location of incident responders affects the incident timeline, but there is a scarcity of literature on the magnitude of the effects. Evaluation of the co-location strategy is reflected by the response and verification durations because its effectiveness relies on improving communication between agencies. Investigation of the response and verification duration of incidents, before and after operations of a co-located Traffic Management Center (TMC) is done by using hazard-based models. Results indicate that the incident type, percentage of the lane closure, number of responders, incident severity, detection methods, and day-of-the-week influence the verification duration for both the before- and after- period. Similarly, incident type, lane closure, number of responders, incident severity, time-of-the-day, and detection method influence the response duration for both study periods. The before and after comparison shows significant improvements in the response duration due to co-location of incident response agencies. Second, the incident clearance duration may not necessarily reflect how different types of incidents and various factors affect traffic conditions. The duration at which the incident influences traffic conditions could vary - shorter than the incident duration for some incidents and longer for others. This study introduces a performance measure called incident impact duration and demonstrates a method that was used for estimating it. Also, this study investigated the effects of using incident impact duration compared to the traditionally incident clearance duration in incident modeling. Using hazard-based models, the study analyzed factors that affect the estimated incident impact duration and the incident clearance duration. Results indicate that incident detection methods, the number of responders, Traffic Management Center (TMC) operations, traffic conditions, towing and emergency services influence the duration of an incident. Third, elements of the incident timeline before the clearance duration have been overlooked as factors that influence the clearance duration. Incident elements before the clearance duration include verification time, dispatch duration, and the travel time of responders to the incident scene. This study investigated the influence of incident timeline elements before clearance on the extent of the clearance duration. Also, this study analyzed the impact of other spatial and temporal attributes on the clearance duration. The analysis used a Cox regression model that is estimated using the Least Absolute Shrinkage and Selection Operator (LASSO) penalization method. LASSO enables variable selection from incidents data with a high number of covariates by automatically and simultaneously selecting variables and estimating the coefficients. Results suggest that verification duration, response travel duration, the percentage of lane closure, incident type, the severity of an incident, detection method, and crash location influence the clearance duration.
Download or read book Traffic Incident Management Handbook written by and published by . This book was released on 2000 with total page 176 pages. Available in PDF, EPUB and Kindle. Book excerpt: Intended to assist agencies responsible for incident management activities on public roadways to improve their programs and operations.Organized into three major sections: Introduction to incident management; organizing, planning, designing and implementing an incident management program; operational and technical approaches to improving the incident management process.
Download or read book Estimation of Traffic Recovery Time for Different Flow Regimes on Freeways written by Anthony Amos Saka and published by . This book was released on 2008 with total page 72 pages. Available in PDF, EPUB and Kindle. Book excerpt: This study attempts to estimate post-incident traffic recovery time along a freeway using Monte Carlo simulation techniques. It has been found that there is a linear relationship between post-incident traffic recovery time, and incident time and traffic intensity. For purposes of this paper, the post-incident recovery time is defined as that time beyond the clearing of an incident when pre-incident traffic conditions are achieved and traffic has returned to normalcy or steady state. The research supports Objective 2.1 of the SHA Business Plan, which seeks to develop measures to enhance the Maryland State Highway Administration's (SHA) ability to quantify the impact of congestion and delay on the highway network. In addition, the SHA understands that the capability to reasonably estimate the traffic recovery time for a given duration of incident is crucial in qualifying the cost-effectiveness of current/future traffic management programs involving detection and clearance of incident on freeways. A total of 121 traffic scenarios of traffic intensity (Rho), incident duration, and proportion of lane blockage were simulated resulting in a total of 726 experiments. The VISSIM simulation platform was used to derive values for output flow, density, and speed to determine the post-incident traffic recovery times. The analysis of simulated data showed that for a given incident duration and lane blockage scenario, the recovery time of the traffic increases non-linearly with traffic intensity. The traffic recovery time becomes uniform (stable) for low and moderate traffic intensity values. A set of linear regression models were developed to reasonably estimate the post-incident traffic recovery time using traffic intensity, incident duration, and proportion of lane blockage as exogenous variables.
Download or read book Applied Mathematics Modeling and Computer Simulation written by C.-H. Chen and published by IOS Press. This book was released on 2024-01-19 with total page 1266 pages. Available in PDF, EPUB and Kindle. Book excerpt: Applied mathematics, modelling, and computer simulation are central to many aspects of engineering and computer science, and continue to be of intrinsic importance to the development of modern technologies. This book presents the proceedings of AMMCS 2023, the 3rd International Conference on Applied Mathematics, Modeling and Computer Simulation, held on 12 and 13 August 2023 in Wuhan, China. The conference provided an ideal opportunity for scholars and researchers to communicate important recent developments in their areas of specialization to their colleagues, and to scientists in related disciplines. More than 250 submissions were received for the conference, of which 133 were selected for presentation at the conference and inclusion here after a thorough peer-review process. These range from the theoretical and conceptual to strongly pragmatic papers addressing industrial best practice, and cover topics such as mathematical modeling and application; engineering applications and scientific computations; and the simulation of intelligent systems. The book explores practical experiences and enlightening ideas, and will be of interest to researchers, practitioners, and to all those working in the fields of applied mathematics, modeling and computer simulation.
Download or read book Intelligent Freeway Transportation Systems written by Robert Gordon and published by Springer Science & Business Media. This book was released on 2009-10-06 with total page 219 pages. Available in PDF, EPUB and Kindle. Book excerpt: Intelligent Freeway Transportation Systems: Functional Design focuses on the efficient use of resources in the design of ITS. It discusses the principles of top down design starting with objectives and requirements, and provides guidance for the development and evaluation of functional design alternatives according to cost effectiveness principles. It shows how transportation planning principles such as Wardrop’s Laws and traffic diversion principles relate to functional ITS device selections and equipment locations. Methodologies for translating objectives to functional device types are provided. Application factors to identify device deployment densities (e.g. number of detectors per mile) as a function of traffic conditions are provided, as are evaluation models for evaluating the benefits of design alternatives based on traffic conditions. Design guidance and benefits evaluation include the following functions: (1) Non-recurrent congestion – Improvement of incident clearance time, (2) Non recurrent congestion – Incident information to motorists, (3) Recurrent congestion – Information to motorists, (4) Ramp metering, (5) Motorist service patrols.
Download or read book Developoment of a model for predicting travel time on an urban freeway written by and published by . This book was released on 1974 with total page 46 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Optimal Design of Freeway Incident Response Systems written by Raktim Pal and published by . This book was released on 2000 with total page 246 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Evaluation of Incident Management Strategies written by and published by . This book was released on 2005 with total page 236 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Empirical Analysis and Modeling of Freeway Incident Duration written by Woon Kim and published by . This book was released on 2007 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Incident Dispatching Clearance and Delay written by Randolph W. Hall and published by . This book was released on 2000 with total page 43 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Modeling Freeway Interchange Accidents written by Taegon Kim and published by . This book was released on 1989 with total page 414 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Freeway Incident Management written by David H. Roper and published by Transportation Research Board. This book was released on 1990 with total page 36 pages. Available in PDF, EPUB and Kindle. Book excerpt: This synthesis will be of interest to traffic engineers, planners, and others interested in how highway agencies deal with freeway incidents. Information is provided on the procedures and processes that highway agencies use to respond to traffic congestion caused by incidents on freeways. Congestion on freeways frequently is caused by incidents such as stalled vehicles or accidents that reduce the capacity of the freeway below the level of demand. This report of the Transportation Research Board describes the procedures and processes used by states to respond to traffic congestion caused by incidents on freeways.
