Modeling Framework to Identify an Affected Area for Developing Traffic Management Strategies

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

doi:10.1061/jtepbs.0000182

Cited by 4 publications

(8 citation statements)

References 17 publications

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“…The proposed models in Memarian et al. () estimate the radii of the subnetworks. To examine the effect of the various subnetwork sizes, five different levels of increase on links’ travel time are considered.…”

Section: Experiments Results and Analysismentioning

confidence: 99%

“…These models in Memarian et al. () estimate the maximum distance from a closed link to a link with a specified expected increase in travel time due to the closure.…”

Section: Methodsmentioning

confidence: 99%

“…Based on previous research (Kattan et al, 2013), the authors assume that some travelers utilize the proposed alternate route to reach their respective destinations, whereas others follow UE traffic assignment in the network. The study adopts a modeling framework developed by Memarian et al (2018) to determine the subnetwork. A sufficiently large subnetwork is selected, and a path selection method is used to speed up the computational aspect of the model.…”

Section: Contributionmentioning

confidence: 99%

“…To reduce the complexity of the model and to ensure that the results are obtained in a timely manner, a subnetwork needs to be defined around the closure, which covers the significantly affected areas (Hashemi & Abdelghany, 2015). Therefore, the study uses linear regression models, which are a function of the closed link's demand and network topology, to estimate the radius of the affected area and define the subnetwork (Memarian et al, 2018). These models in Memarian et al (2018) estimate the maximum distance from a closed link to a link with a specified expected increase in travel time due to the closure.…”

Section: Subnetworkmentioning

confidence: 99%

“…The study adopts a modeling framework developed by Memarian et al. () to determine the subnetwork. A sufficiently large subnetwork is selected, and a path selection method is used to speed up the computational aspect of the model.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

An optimization‐based traffic diversion model during construction closures

Memarian

Rosenberger

Mattingly

et al. 2019

Computer aided Civil Eng

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During major highway construction, when lanes or entire highway sections must be temporarily closed, traffic managers would like to inform motorists of alternative routes around the construction site well in advance of the project location. This study develops a traffic diversion model to propose an optimum alternate route to drivers during a construction activity. The models and algorithms developed in this study assess a potential diversion route to optimize network performance while considering the drivers’ behaviors in following the proposed alternate route during a closure. A bilevel optimization model is proposed to minimize the total travel time of the affected network considering the link closure and a proposed alternate route for the travelers. A travelers’ route choice decision is modeled based on the user equilibrium traffic assignment, whereas a certain percentage of drivers are assumed to divert to the recommended alternate route. A sufficiently large subnetwork is selected, and a path selection method is proposed to reduce the computational effort required to optimize the model. A set of simulation experiments is conducted using the Tarrant County network in north Texas. The results show the ability of the model to improve the overall network performance during hypothetical closure scenarios.

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Section: Experiments Results and Analysismentioning

confidence: 99%

“…These models in Memarian et al. () estimate the maximum distance from a closed link to a link with a specified expected increase in travel time due to the closure.…”

Section: Methodsmentioning

confidence: 99%

Section: Contributionmentioning

confidence: 99%

Section: Subnetworkmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

An optimization‐based traffic diversion model during construction closures

Memarian

Rosenberger

Mattingly

et al. 2019

Computer aided Civil Eng

Self Cite

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Establishing Multisource Data-Integration Framework for Transportation Data Analytics

Cui

Henrickson

Biancardo

et al. 2020

J. Transp. Eng., Part A: Systems

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Arterial Control Against Lane Occupancy Accidents Based on Discrete Traffic Flow Model

2020

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Due to oversaturated traffic condition, few models are capable of describing the complexity and control strategies are difficult to design.This paper proposes an arterial coordination control for unsaturated and oversaturated traffic condition via discretization analysis model. The Robertson discrete formula is introduced to describe the discrete relationship between the upstream and downstream flow. The downstream vehicle arrival rate satisfies the cyclical relationship when the turning traffic flow is low. On this basis, the traffic parameters of the upstream and downstream can be calculated by the 'look-up table' method instead of the 'recursion' method in using the periodic array to save the intermediate variables in the model. As a result, the computation time significantly decreases. For unsaturated situation, delays are accumulated in each time period and reduced through adjusting offsets. For oversaturated traffic condition caused by lane occupancy accidents, green time is optimized by genetic algorithm after the road capacity decline is estimated. Simulation experimental results verify the effectiveness of the control strategies and the practicability of the proposed model.

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Modeling Framework to Identify an Affected Area for Developing Traffic Management Strategies

Cited by 4 publications

References 17 publications

An optimization‐based traffic diversion model during construction closures

An optimization‐based traffic diversion model during construction closures

Establishing Multisource Data-Integration Framework for Transportation Data Analytics

Arterial Control Against Lane Occupancy Accidents Based on Discrete Traffic Flow Model

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