Improving Traffic Incident Management Together

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Improving Traffic Incident Management Together

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Author : National Traffic Incident Management Coalition
language : en
Publisher:
Release Date : 2004

Improving Traffic Incident Management Together written by National Traffic Incident Management Coalition and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004 with Communication and traffic categories.

Traffic Incident Management Handbook

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Author :
language : en
Publisher:
Release Date : 2000

Traffic Incident Management Handbook written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000 with Emergency management categories.

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.

Leveraging Big Data To Improve Traffic Incident Management

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Author : Kelley Klaver Pecheux
language : en
Publisher:
Release Date : 2019

Leveraging Big Data To Improve Traffic Incident Management written by Kelley Klaver Pecheux and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with Big data categories.

"Big data" is not new, but applications in the field of transportation are more recent, having occurred within the past few years, and include applications in the areas of planning, parking, trucking, public transportation, operations, ITS, and other more niche areas. A significant gap exists between the current state of the practice in big data analytics (such as image recognition and graph analytics) and the state of DOT applications of data for traffic incident management (TIM) (such as the manual use of Waze data for incident detection). The term big data represents a fundamental change in what data is collected and how it is collected, analyzed, and used to uncover trends and relationships. The ability to merge multiple, diverse, and comprehensive datasets and then mine the data to uncover or derive useful information on heretofore unknown or unanticipated trends and relationships could provide significant opportunities to advance the state of the practice in TIM policies, strategies, practices, and resource management. NCHRP (National Cooperative Highway Research Program) Report 904: Leveraging Big Data to Improve Traffic Incident Management illuminates big data concepts, applications, and analyses; describes current and emerging sources of data that could improve TIM; describes potential opportunities for TIM agencies to leverage big data; identifies potential challenges associated with the use of big data; and develops guidelines to help advance the state of the practice for TIM agencies.

Improving Traffic Incident Management

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Author : Austroads Ltd
language : en
Publisher:
Release Date : 2007-01

Improving Traffic Incident Management written by Austroads Ltd and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-01 with Reference categories.

Improving Traffic Incident Management

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Author : Austroads Ltd
language : en
Publisher:
Release Date : 2007-01

Improving Traffic Incident Management written by Austroads Ltd and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-01 with Reference categories.

Simplified Guide To The Incident Command System For Transportation Professionals

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Author : U.s. Department of Transportation
language : en
Publisher: CreateSpace
Release Date : 2015-02-21

Simplified Guide To The Incident Command System For Transportation Professionals written by U.s. Department of Transportation and has been published by CreateSpace this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-02-21 with Transportation categories.

Reducing traffic congestion and improving roadway safety are high priorities for the Federal Highway Administration (FHWA). Traffic incidents are a major source of both highway congestion and safety problems. Incidents are estimated to cause approximately half of all traffic delay. Crashes that result from other incidents account for approximately 16 percent of all crashes and cause 18 percent of freeway deaths. For these reasons, FHWA strongly endorses the establishment and use of good traffic incident management. Effective transportation system management and operations depends on the aggressive management of temporary disruptions (caused by traffic incidents, work zones, weather, special events, etc.) in order to reduce the consequences of these disruptions and return the system to “full capacity.” The Incident Command System (ICS) is the systematic tool for the command, control, and coordination of an emergency response. ICS allows agencies to work together using common terminology and operating procedures for controlling personnel, facilities, equipment, and communications at an incident scene. The purpose of this Simplified Guide is to introduce the ICS to stakeholders who may be called upon to provide specific expertise, assistance, or material during highway incidents but who may be largely unfamiliar with ICS organization and operations. These stakeholders include transportation agencies and companies involved in towing and recovery, as well as elected officials and government agency managers at all levels. This document may also be beneficial to public safety professionals, who are familiar with ICS but may not fully understand how ICS concepts are applicable to transportation agencies.

Leveraging Big Data To Improve Traffic Incident Management

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Author :
language : en
Publisher:
Release Date : 2019

Leveraging Big Data To Improve Traffic Incident Management written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with Big data categories.

"Big data" is not new, but applications in the field of transportation are more recent, having occurred within the past few years, and include applications in the areas of planning, parking, trucking, public transportation, operations, ITS, and other more niche areas. A significant gap exists between the current state of the practice in big data analytics (such as image recognition and graph analytics) and the state of DOT applications of data for traffic incident management (TIM) (such as the manual use of Waze data for incident detection). The term big data represents a fundamental change in what data is collected and how it is collected, analyzed, and used to uncover trends and relationships. The ability to merge multiple, diverse, and comprehensive datasets and then mine the data to uncover or derive useful information on heretofore unknown or unanticipated trends and relationships could provide significant opportunities to advance the state of the practice in TIM policies, strategies, practices, and resource management. NCHRP (National Cooperative Highway Research Program) Report 904: Leveraging Big Data to Improve Traffic Incident Management illuminates big data concepts, applications, and analyses; describes current and emerging sources of data that could improve TIM; describes potential opportunities for TIM agencies to leverage big data; identifies potential challenges associated with the use of big data; and develops guidelines to help advance the state of the practice for TIM agencies.

Measuring And Communicating The Effects Of Traffic Incident Management Improvements

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Author :
language : en
Publisher:
Release Date : 2004

Measuring And Communicating The Effects Of Traffic Incident Management Improvements written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004 with Express highways categories.

"This digest presents the results of NCHRP Project 20-7/Task 173, 'Measuring and communicating the effects of incident management improvements.' The research team (composed of Richard Margiotta and Kenny Voorhies ... and Tim Lomas ...) ..."--P. [1] excerpt.

Evaluation Of Traffic Incident Timeline To Quantify The Performance Of Incident Management Strategies

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Author : Henrick Joseph Haule
language : en
Publisher:
Release Date : 2018

Evaluation Of Traffic Incident Timeline To Quantify The Performance Of Incident Management Strategies written by Henrick Joseph Haule and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018 with Traffic accidents categories.

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.

Traffic Incident Management Quick Clearance Guidance And Implications

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Author :
language : en
Publisher:
Release Date : 2016

Traffic Incident Management Quick Clearance Guidance And Implications written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016 with Traffic congestion categories.

Improving traffic incident management is one means to help reduce congestion, as traffic incidents account for approximately 25 percent of total congestion on U.S. highways. Between July and September 2012, 330 collisions were recorded for the I-66 corridor in Northern Virginia alone, of which 82 required more than 1 hour to clear. To improve its incident management efforts, the Virginia Department of Transportation’s (VDOT) Northern Region Operations recently piloted a quick clearance policy called Operation Instant Tow. With an instant tow concept, a tow truck and a Virginia State Police trooper are dispatched simultaneously to the site of specific incident types (e.g., lane blocking events), thus reducing clearance time. VDOT’s Operations Division is interested in the potential expansion of this initiative to other operations regions and the employment of other quick clearance initiatives currently not executed in Virginia. The purpose of this study was (1) to investigate traffic incident management initiatives including quick clearance practices and policies used by other state departments of transportation; (2) to assess the feasibility of adopting strategies that are not currently implemented in Virginia; and (3) to provide emergency responders and VDOT staff with a tool to estimate the benefits of clearing an incident quickly, individualized for a particular incident, location, and time. The tool would provide an incident commander with real-time information on the costs to the traveler from extended lane closures. The guidance and data tool developed in this study will provide VDOT with additional mechanisms to broaden and strengthen its outreach to the responder community and improve real-time awareness of incident lane closure costs. The guidance on quick clearance is intended to support statewide implementation of strategies to improve incident response and clearance times. Implementing this guidance will provide strengthened interagency coordination and cooperation resulting in measurable benefits for traffic incident management.