An Optimization Model for Highway Work Zones Considering Safety, Mobility, and Project Cost

Shahin, Fadi; Elias, Wafa; Rosenfeld, Yehiel; Toledo, Tomer

doi:10.3390/su14031442

Cited by 3 publications

(2 citation statements)

References 31 publications

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“…However, these methods suffer from inaccuracy when it comes to prediction of the distribution of travel times and b. Impact of overall delay in traffic environment due to CWZ Shahin et al [19] proposed a HWZ optimization model that calculates the influence of HWZs on worker safety, mobility, and costs. The two goals are as follows: measuring the effects of HWZs on worker safety, mobility, and costs; and second, by regulating site layout, temporary traffic control (TTC), and work management, developing an optimization model to reduce the overall expenses.…”

Section: Literature Surveymentioning

confidence: 99%

Impact of Construction Work Zone on Urban Traffic Environment

Vyas,

Varia

2023

International Journal on Smart Sensing and Intelligent Systems

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Objectives Traffic management is challenging during construction because of the effects of traffic congestion, travel time, delay, and queue length. Long-term work zones on urban roads lead to many problems such as speed, inconvenience, and economic losses to drivers, which are focused on in previous studies. Methods Moreover, due to the construction work zone (CWZ), the impact on environmental factors such as air quality and noise levels was not focused on. Because of the building work zones, this research focused on comprehending how traffic congestion measurements and environmental factors affect urban traffic management. Findings The present research uses TransCAD to estimate air pollution due to increased traffic in the urban areas. Furthermore, three nonlinear AI-based models (ANFIS, FFNN, and SVR) and one linear black box model were developed to predict the noise level in the city, in which each contained the total traffic and speed as well as the ratio of heavy vehicles in the traffic. Novelty For traffic control, a variety of techniques are available, including video data analysis, infrared sensors, inductive loop detection, wireless sensor networks, etc. These are all practical techniques for efficient traffic management. It is necessary to conduct studies on the amount of traffic, the topography, accidents, time delays, and the level of safety offered in the work area. Construction operations are facilitated by the implementation of traffic flow, and during this process, long-term CWZs are inevitable. Therefore, the proposed model accomplishes the goal, namely that only analytical research and a few traffic diverter signs point drivers to alternate routes to their destinations.

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Section: Literature Surveymentioning

confidence: 99%

Impact of Construction Work Zone on Urban Traffic Environment

Vyas,

Varia

2023

International Journal on Smart Sensing and Intelligent Systems

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“…Every 5.4 min a work zone-related crash happens according to the Federal Highway Administration (FHWA) [1]; as such, work zone safety is considered a high priority for research studies and transportation agencies [1][2][3][4][5]. The topic is not only a concern for road travelers but also a serious concern for the workers in the work zones where they are usually at a high risk of being injured in crashes with vehicles.…”

Section: Introductionmentioning

confidence: 99%

Application of Unsupervised Machine Learning Classification for the Analysis of Driver Behavior in Work Zones in the State of Qatar

et al. 2022

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Work zone areas are commonly known as crash-prone areas. Thus, they usually receive high priority by road operators as drivers and workers have higher chances of being involved in road crashes. The paper aims to investigate driving behavior in work zones using unsupervised machine learning and vehicle kinematic data. A dataset of 67 participants was gathered through an experiment using a driving simulator located at the Qatar Transportation and Traffic Safety Center (QTTSC). The study considered two different work zone scenarios where the leftmost lane was closed for maintenance. In the first scenario, drivers drove on the leftmost lane (Drive 1), while in the second, they drove on the second leftmost lane (Drive 2). The results show that the number of aggressive and conservative drivers was surprisingly more than normal drivers, as most participants either cautiously drove through or failed to drive without being aggressive. The results also show that drivers acted more aggressively in the leftmost lane rather than in the second leftmost lane. We also found that female drivers and drivers with relatively little driving experience were more likely to be aggressive as they drove through a work zone. The framework was found to be promising and can help policymakers take optimal safety countermeasures in work zones during construction.

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Multi-Objective Optimization of Highway Work Zones Considering Safety, Mobility, and Project Cost

Shahin,

Elias,

Toledo

2024

Sustainability

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The presence of highway work zones has a major effect on safety, mobility, and project expenses. The objective of this study is to develop a multi-objective optimization model to address these challenges by considering all three factors simultaneously. The model employs a Genetic Algorithm to identify the Pareto front and elucidate the trade-offs between safety, mobility, and cost. It evaluates various decision variables related to site geometry, work management, and temporary traffic control measures, exploring numerous potential combinations and offering decision-makers a comprehensive array of solutions. A case study demonstrates the model’s efficacy. Initially, approximately 829,440 feasible solutions were identified, which were effectively reduced to 263 by imposing additional constraints such as specific safety levels, maximum project costs, or traffic delay thresholds. The findings highlight significant cost variations: crash costs ranged from saving USD 973,473 to increasing costs by USD 1,328,322; mobility costs ranged from USD 184,491 to USD 3,854,212; and project costs ranged from USD 1,424,634 to USD 1,574,894. These variations underscore the substantial influence of crash costs and the benefits of location-based scheduling, which improves cost estimate reliability by capturing the effects of working hours and project duration. This research builds upon previous studies by incorporating three distinct objectives rather than focusing on a singular solution. By addressing safety, mobility, and project cost separately, the framework yields multiple solutions, each impacting the objectives differently. This multifaceted approach enhances its utility as a robust decision-making tool for stakeholders involved in highway work zone management and planning. This study concludes that multi-objective optimization is crucial for providing realistic and diverse solutions, ultimately improving decision-making processes in highway work zone operations.

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An Optimization Model for Highway Work Zones Considering Safety, Mobility, and Project Cost

Cited by 3 publications

References 31 publications

Impact of Construction Work Zone on Urban Traffic Environment

Impact of Construction Work Zone on Urban Traffic Environment

Application of Unsupervised Machine Learning Classification for the Analysis of Driver Behavior in Work Zones in the State of Qatar

Multi-Objective Optimization of Highway Work Zones Considering Safety, Mobility, and Project Cost

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