Long-term work zone planning for highway infrastructure

2019 ◽  
pp. 611-618
Author(s):  
F. Schiffmann ◽  
R. Hajdin
Keyword(s):  
Work Zone ◽  
Highway Infrastructure

Work Zone Coordination Software Tool

2017 ◽  
Vol 2617 (1) ◽  
pp. 60-70 ◽  
Author(s):  
Bekir Bartin ◽  
Kaan Ozbay ◽  
Matthew D. Maggio ◽  
Hao Wang
Keyword(s):  
New Jersey ◽  
Construction Projects ◽  
Software Tool ◽  
Work Zone ◽  
Department Of Transportation ◽  
Work Zones ◽  
Web Based ◽  
Departments Of Transportation ◽  
Transportation Agencies

Faced with a growing number of work zones, transportation agencies are being challenged to effectively manage the impacts of these zones, alleviate congestion, and maintain the safety of motorists and workers without disrupting project schedules. Coordinating work zones has already been practiced by various state departments of transportation and transportation agencies, yet there are no universal department of transportation policies that address how agencies should coordinate or consolidate projects. In addition, only a few states utilize computer tools specific to regional or corridor-based work zone coordination. State departments of transportation mostly coordinate significant and long-term projects. However, the majority of roadway projects include minor repair, roadway maintenance, bridge maintenance, surveying, and landscape and utility work that require relatively short-term work zones. The Work Zone Coordination Software tool was developed to provide the New Jersey Department of Transportation with an easy-to-use tool to evaluate the feasibility and effectiveness of coordinating short- and long-term work zones and to measure the benefits. This online tool is implemented with a web-based user interface. It integrates all scheduled and active construction projects, identifies conflicts between work zone projects, and estimates the benefits of conflict mitigation. The Work Zone Coordination Software tool works with the New Jersey work zone database by automatically importing data to provide up-to-date information to its users. However, the tool is built on a flexible framework that allows the integration of any work zone database provided that it includes all the required information.

Multicontextual Machine-Learning Approach to Modeling Traffic Impact of Urban Highway Work Zones

2017 ◽  
Vol 2645 (1) ◽  
pp. 184-194 ◽  
Author(s):  
Junseo Bae ◽  
Kunhee Choi ◽  
Jeong Ho Oh
Keyword(s):  
Machine Learning ◽  
Traffic Flow ◽  
Local Governments ◽  
Ad Hoc ◽  
Work Zone ◽  
Work Zones ◽  
Highway Infrastructure ◽  
Traffic Impact ◽  
State And Local ◽  
The Impact

Impact assessments of highway construction work zones (CWZs) are mandated for all federally funded highway infrastructure improvement projects. However, most existing approaches are ad hoc or project specific, so they are incapable of being benchmarked for any particular spatial region. A novel multicontextual approach to modeling the traffic impact of urban highway CWZs is proposed and tested in this paper. The proposed approach is unique because it models the impact of CWZ operations through a multicontextual quantitative method using big data for improved accuracy. In this study, a machine-learning technique was adopted to predict long-term traffic flow rates and the corresponding truck percentages. With the use of these predicted values, stereotypical patterns of traffic volume-to-capacity ratios were created for typical urban nighttime closures. Third-order curve-fitting models to achieve potential work zone travel time delays in heavily trafficked large urban cores were then developed and validated. This study will greatly help state and local governments and the general traveling public in major cities know the potential traffic flow resulting from construction and thereby facilitate progress on highway improvement projects with the better-informed work zone traffic flow and thus improve safety and mobility in and between CWZs.

scholarly journals Impact Assessment of Long-Term Work Zones in Arterial Roads on Commercial Activities in Dammam Metropolitan Area, Saudi Arabia

2018 ◽  
Vol 29 (2) ◽  
pp. 19-36
Author(s):  
Nawaf M. Alshabibi Nawaf M. Alshabibi
Keyword(s):  
Metropolitan Area ◽  
Field Survey ◽  
Business Owners ◽  
Work Zone ◽  
Work Zones ◽  
Commercial Activities ◽  
First Case ◽  
Negative Impacts ◽  
The Impact

This paper assesses the impact of long-term work zones in arterial roads on commercial activities in Dammam Metropolitan area. The study focuses on two cases of long-term work zones in arterials in two major cities in Dammam Metropolitan Area. The first case is a work zone with full lanes closure on Prince Mohamed Bin Fahad Road at the south east entrance of Dammam city. The second case is a work zone with full lanes closure on King Abdul-Aziz Road at the northern entrance of Al-Khobar City. Data collection relies on field survey including questionnaires to affected business owners and managers. The questionnaire has been developed to assess the impact before and during road works period, in the work zone, on mobility and accessibility to commercial activities. Field survey includes 201 commercial activities at two work zone locations. Answers have been registered in Excel spreadsheet. Data analysis includes percentages of change, means, and standard deviation of dependent variables before and during the presence of the work zone. It was found that long-term work zones on arterials have multiple negative impacts on workers, sales, and customers. These impacts are related to lack of mobility, accessibility and reduction of parking availability during work period. Also, restaurants and travel agencies were the most effected activities by work zone presence, while banks were the least effected.

Developing a Dynamic Traffic Management Modeling Framework for Hurricane Evacuation

2000 ◽  
Vol 1733 (1) ◽  
pp. 115-121 ◽  
Author(s):  
Bridget Barrett ◽  
Bin Ran ◽  
Rekha Pillai
Keyword(s):  
Traffic Management ◽  
Management Strategies ◽  
The United States ◽  
Hurricane Evacuation ◽  
Modeling Framework ◽  
Evacuation Modeling ◽  
Highway Infrastructure ◽  
Evacuation Plans ◽  
New Construction

Evacuation is becoming increasingly difficult as the population of hurricane-prone regions continues to grow dramatically. In addition, development in coastal communities in the United States is expected to continue to greatly outpace new construction and improvements to the highway infrastructure. Consequently, there is a great need for hurricane evacuation models, which allow emergency response personnel to develop effective evacuation plans and management strategies. The development of a dynamic hurricane evacuation modeling framework is described, which can be used for long-term and short-term planning purposes as well as for real-time operational purposes.

Long Term Cross Asset Management of Highway Infrastructure

2012 ◽  
Vol 18 (8) ◽  
pp. 1436-1443
Author(s):  
Helmut Wenzel ◽  
Robert Veit-Egerer ◽  
Monika Widmann
Keyword(s):  
Asset Management ◽  
Highway Infrastructure

scholarly journals Bi-level optimization of long-term highway work zone scheduling considering elastic demand

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Yang Li ◽  
Wei Fan
Keyword(s):  
Optimal Solution ◽  
Planning Horizon ◽  
User Equilibrium ◽  
Work Zone ◽  
Elastic Demand ◽  
Content Type ◽  
Ga Algorithm ◽  
Demand Sensitivity ◽  
The Impact

Purpose More and more work zone projects come with the needs of new construction and regular maintenance-related investments in transportation. Work zone projects can have many significant impacts socially, economically and environmentally. Minimizing the total impacts of work zone projects by optimizing relevant schedules is extremely important. This study aims to analyze the impacts of scheduling long-term work zone activities. Design/methodology/approach Optimal scheduling of the starting dates of each work zone project is determined by developing and solving using a bi-level genetic algorithm (GA)–based optimization model. The upper level sub-model is to minimize the total travel delay caused by work zone projects over the entire planning horizon, whereas the lower level sub-model is a traffic assignment problem under user equilibrium condition with elastic demand. Findings Sioux Falls network is used to develop and test the proposed GA-based model. The average and minimum total travel delays (TTDs) over generations of the proposed GA algorithm decrease very rapidly during the first 20 generations of the GA algorithm; after the 20th generations, the solutions gradually level off with a certain level of variations in the average TTD, showing the capability of the proposed method of solving the multiple work zone starting date optimization problem. Originality/value The proposed model can effectively identify the near-optimal solution to the long-term work zone scheduling problem with elastic demand. Sensitivity analysis of the impact of the elastic demand parameter is also conducted to show the importance of considering the impact of elastic demand parameter.

Modeling Long-Term Highway Staffing Requirements for State Transportation Agencies

2017 ◽  
Vol 2612 (1) ◽  
pp. 76-84
Author(s):  
Ying Li ◽  
Timothy R. B. Taylor ◽  
Gabriel B. Dadi ◽  
Roy E. Sturgill
Keyword(s):  
System Dynamics ◽  
Formal Model ◽  
Dynamics Modeling ◽  
Highway Infrastructure ◽  
Staffing Levels ◽  
Long Term Forecasting ◽  
Temporary Staffing ◽  
Staffing Requirements ◽  
Transportation Agencies

State transportation agencies (STAs) across the country face many challenges in repairing and enhancing highway infrastructure to meet rapidly increasing transportation needs. One of these challenges is maintaining an adequate and efficient agency staff. To effectively plan for future staffing levels, STAs need a method for forecasting long-term staffing requirements. However, the methods currently in use cannot function without well-defined projects; therefore, making long-term forecasts is difficult. This paper seeks to develop a dynamic model that captures the feedback mechanisms within the system that determines highway staffing requirements. The system dynamics modeling method was used to build the forecasting model. The formal model was based on dynamic hypotheses derived from a literature review and interviews with transportation experts. Qualitative and quantitative data from literature and federal and state databases were used to support the values and equations in the model. The model integrates STAs’ strategic plans, funding situations, and staffing strategies and determines future staffing levels and will hopefully fill the absence of long-term forecasting tools at STAs. Standard system dynamics validation procedures were used to test the model, after which input data specific to the Kentucky Transportation Cabinet were used to calibrate the model and to simulate an expected retirement wave and search for solutions to address temporary staffing shortages.

scholarly journals PROPOSAL AND SUGGESTIONS FOR KICK STARTING ECONOMIC ACTIVITY POST COVID 19 & CREATING BALANCED DEVELOPMENT AND EMPLOYMENT OPPORTUNITIES ACROSS THE NATION& AVOIDINGLARGE SCALE MIGRATION OF LABOUR IN INDIA - A RESEARCH PAPER LINKING INFRASTRUCTURE& BALANCED ECONOMIC DEVELOPMENT

2021 ◽  
Vol 9 (03) ◽  
pp. 719-726
Author(s):  
Dinesh Bandiwadekar ◽  
Keyword(s):  
Economic Activity ◽  
Employment Opportunities ◽  
Administration System ◽  
Highway Infrastructure ◽  
Balanced Development ◽  
Infrastructure Network ◽  
Economic Slowdown ◽  
Tax Benefits ◽  
The Government

THIS PAPER FOCUSSES ON how we should quickly utilise the highways and other infrastructure created for the economic growth of the nation post covid 19, and get a proper return on THE investment already DONE In these AREAS.IT ALSO EXAMINES WHETHER BEYOND A POINT, Does creation of an extensive HIGHWAY / infrastructure network drive the economy AND IF it createS LONG TERM EMPLOYMENT, or are there better ways of doing the same. Items that are discussed more specifically are as under: 1. Leveraging current /existing developmentin the form of infrastructureto kick start further growth on an all India basis. 2. Promoting decongestion of cities from a health perspective& reduce migration across India. 3. Creating location based tax benefits to spur development and create new demand.to overcome the economic slowdown ,by using the already well done highway infrastructure 4. Creation of a modified tax administration system based on PIN Codes and tracking infrastructure growth and returns through PIN codes. The paper takes the liberty of proposing multiple but closely related issues as listed above that should be possibly considered by the Government for further improvement and mainly swift improvement of our country.

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