An optimization‐based traffic diversion model during construction closures

Memarian, Arezoo; Rosenberger, Jay M.; Mattingly, Stephen P.; Williams, James C.; Hashemi, Hossein

doi:10.1111/mice.12491

Cited by 17 publications

(8 citation statements)

References 28 publications

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“…Road closures can increase the safety of construction workers and road users from reduced live traffic near highway construction projects. Memarian et al (2019) developed a decision-making model to develop traffic diversion plans by identifying alternate routes based on route choice behaviour of road users when facing highway construction projects.…”

Section: Analysis Of Research Articlesmentioning

confidence: 99%

Decision making in highway construction: a systematic review and future directions

Radzi

Rahman

Doh

2021

JEDT

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Purpose Various approaches have emerged to assist practitioners in making more informed decisions in highway construction projects. However, industry practitioners are still using subjective ways to make decisions. Also, researchers have developed tools and techniques with similar objectives. Lack of information on what has been developed might lead to those issues. Therefore, this paper aims to review trends of evolution, pinpoint strengths and gaps in the literature and identifies potential future directions for decision-making research in highway construction projects. Design/methodology/approach A systematic review was conducted on published articles on decision-making in highway construction projects using the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) technique. Findings The analysis of 101 articles revealed that existing decision-making research in highway construction projects targets improvements in four areas: feasibility, conceptual, detailed scope and detailed design. The four areas consist of sixteen subthemes that are detailed in this study. In addition, most research involved developing decision support tools and systems as well as decision-making models, techniques and frameworks. Lastly, several research areas have emerged, such as adding more decision criteria including those with uncertainties, expanding existing decision-making models into decision support systems, benchmarking decision criteria between different sample populations and exploring inter-and intra-relationships between decision criteria. Originality/value This paper provides an overview of existing research on decision-making in highway construction projects. Also, it reveals research gaps in the body of knowledge to point out directions for future research. Finally, industry practitioners can use the findings to develop strategies for effective decision-making processes.

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Section: Analysis Of Research Articlesmentioning

confidence: 99%

Decision making in highway construction: a systematic review and future directions

Radzi

Rahman

Doh

2021

JEDT

View full text Add to dashboard Cite

show abstract

“…There has been extensive research on driver behavior when presented with alternative routes by message signs [4] [5] [6] and by Advanced Traveller Information Services (ATIS) [7] [8], as well as stated surveys and modelling studies that analyze the impact of traffic on alternative routes [9] [10] [11] [12]. It is well understood at the macro model level, that diversions onto local streets will occur, but those models do not provide sufficient fidelity to characterize the daily, hourly, and even 15-minute variations in driver route choices that impact local streets.…”

Section: Literature Reviewmentioning

confidence: 99%

Longitudinal Performance Assessment of Traffic Signal System Impacted by Long-Term Interstate Construction Diversion Using Connected Vehicle Data

Saldivar-Carranza¹,

Hunter²,

Li³

et al. 2021

JTTs

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Local arterials can be significantly impacted by diversions from adjacent work zones. These diversions often occur on unofficial detour routes due to guidance received on personal navigation devices. Often, these routes do not have sufficient sensing or communication equipment to obtain infrastructure-based traffic signal performance measures, so other data sources are required to identify locations being significantly affected by diversions. This paper examines the network impact caused by the start of an 18-month closure of the I-65/70 interchange (North Split), which usually serves approximately 214,000 vehicles per day in Indianapolis, IN. In anticipation of some proportion of the public diverting from official detour routes to local streets, a connected vehicle monitoring program was established to provide daily performances measures for over 100 intersections in the area without the need for vehicle sensing equipment. This study reports on 13 of the most impacted signals on an alternative arterial to identify locations and time of day where operations are most degraded, so that decision makers have quantitative information to make informed adjustments to the system. Individual vehicle movements at the studied locations are analyzed to estimate changes in volume, split failures, downstream blockage, arrivals on green, and travel times. Over 130,000 trajectories were analyzed in an 11-week period. Weekly afternoon peak period volumes increased by approximately 455%, split failures increased 3%, downstream blockage increased 10%, arrivals on green decreased 16%, and travel time increase 74%. The analysis performed in this paper will serve as a framework for any agency that wants to assess traffic signal performance at hundreds of locations with little or no existing sensing or communication infrastructure to prioritize tactical retiming and/or longer-term infrastructure investments.

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“…Traffic simulation is widely used for traffic planning (Jiang & Adeli, 2003; Zheng & Li, 2023), travel time analysis (Ghosh‐Dastidar & Adeli, 2006; Saedi et al., 2020), traffic congestion optimization (Adeli & Ghosh‐Dastidar, 2004; Memarian et al., 2019), and conflict risk assessment (Ma et al., 2017; C. Wang et al., 2018). Although many models and commercial software programs have been developed for traffic simulation (Barceló, 2010; Li et al., 2022), vehicle weight—an important risk factor for the structural safety of transportation infrastructures such as bridges, roads, and tunnels—is simplistically considered in them (O'Brien et al., 2021).…”

Section: Introductionmentioning

confidence: 99%

A hybrid virtual–real traffic simulation approach to reproducing the spatiotemporal distribution of bridge loads

Zhou,

Wu,

Caprani

et al. 2024

Computer aided Civil Eng

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Current traffic simulation approaches analyze vehicle loads and load effects from a statistical perspective; however, they fail to reproduce the spatiotemporal distribution of bridge loads and resultant load effects at every moment, hindering real‐time bridge health management. This paper proposes a two‐step hybrid virtual–real traffic simulation (HvrTS) approach to reproduce the spatiotemporal distribution of bridge loads. Vehicle load sequences are first identified using computer vision based on traffic video from two surveillance cameras installed along the bridge. Next, traffic microsimulation is optimized with the identified vehicle load sequences from the two cameras serving as the known input and validated output. Using a cable‐stayed bridge under free‐flowing traffic, the HvrTS approach achieved a weighted mean square matching error of ≤0.3 m for the vehicle longitudinal location and a matching error of ≤7% for the vehicle lane position, whereas with congested traffic, the matching errors were much higher due to the inherent complexities and challenges associated with reproducing vehicle behavior in heavily congested situations. The traffic load effects calculated via HvrTS presented excellent spatiotemporal matching with those measured by a structural health monitoring system, especially in free‐flow traffic conditions. Applications on a continuous rigid frame girder bridge further validate these findings. Hence, the proposed HvrTS approach can overcome the challenge of spatiotemporal matching between vehicle loads and load effects in field monitoring.

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An optimization‐based traffic diversion model during construction closures

Cited by 17 publications

References 28 publications

Decision making in highway construction: a systematic review and future directions

Decision making in highway construction: a systematic review and future directions

Longitudinal Performance Assessment of Traffic Signal System Impacted by Long-Term Interstate Construction Diversion Using Connected Vehicle Data

A hybrid virtual–real traffic simulation approach to reproducing the spatiotemporal distribution of bridge loads

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