Optimizing Truck Weigh Stations’ Locations on the Highway Network of Saudi Arabia

AlGadhi, Saad A H

doi:10.1016/s1018-3639(18)30750-5

Cited by 3 publications

(6 citation statements)

References 7 publications

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“…The line of research proposed in this article could be use to 1. Improve the current practice of transportation agencies in locating WIM systems that consists of simply prioritizing the most damaged road links.…”

Section: Discussionmentioning

confidence: 99%

“…Below, we summarize the characteristics of various FCPs found in the literature. Different aspects of these problems include: 1. Deviations from preplanned trips where a flow is considered captured not only if a facility (e.g., gas station and restaurant) is located along the predetermined path of a flow, but also in its relative proximity [7,31].…”

Section: Literature Reviewmentioning

confidence: 99%

“…This intuitive approach toward allocating WIM systems can be improved by developing models that optimize the location of WIM checkpoints. Several such models are found in the literature , but they are built on the assumption that trucks travel along the shortest paths from their origins to their destinations and that locating WIM checkpoints along trucks' shortest paths suffices to enforce weight control. However, this simplifying assumption misrepresents the real world, where truck drivers quickly learn the location of checkpoints, communicate with other truckers,and start avoiding the checkpoints by taking detours (see for a discussion of the empirical evidence).…”

Section: Background On Wim Allocationmentioning

confidence: 99%

“…For k f = 1, we have |P f | = 1 and thus 1. We can omit condition ∀p ∈ P f from constraints (2)- (5).…”

mentioning

confidence: 99%

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Evasive flow capture: Optimal location of weigh‐in‐motion systems, tollbooths, and security checkpoints

2014

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The flow‐capturing problem (FCP) consists of locating facilities to maximize the number of flow‐based customers that encounter at least one of these facilities along their predetermined travel paths. The FCP literature assumes that if a facility is located along (or “close enough” to) a predetermined path of a flow of customers, that flow is considered captured. However, existing models for the FCP do not consider targeted users who behave noncooperatively by changing their travel paths to avoid fixed facilities. Examples of facilities that targeted subjects may have an incentive to avoid include weigh‐in‐motion stations used to detect and fine overweight trucks, tollbooths, and security and safety checkpoints. This article introduces a new type of flow‐capturing model, called the “evasive flow‐capturing problem” (EFCP), which generalizes the FCP and has relevant applications in transportation, revenue management, and security and safety management. We formulate deterministic and stochastic versions of the EFCP, analyze their structural properties, study exact and approximate solution techniques, and show an application to a real‐world transportation network. © 2014 Wiley Periodicals, Inc. NETWORKS, Vol. 65(1), 22–42. 2015

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Section: Discussionmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Section: Background On Wim Allocationmentioning

confidence: 99%

“…For k f = 1, we have |P f | = 1 and thus 1. We can omit condition ∀p ∈ P f from constraints (2)- (5).…”

mentioning

confidence: 99%

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Evasive flow capture: Optimal location of weigh‐in‐motion systems, tollbooths, and security checkpoints

2014

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“…In practical applications, the placement of enforcement stations in highway networks has been solved in various instances in literature, using various mathematical methods (AlGadhi, 2002;Ammarapala et al, 2013;Kulović et al, 2018;Mahmoudabadi and Seyedhosseini, 2013;SE elmić et al, 2010). Furthermore, the development of EFCP and its following extensions also presented as main motivation the location of enforcement stations (Arslan et al, 2018;Hooshmand and MirHassani, 2018;Lu et al, 2018;Marković et al, 2015Marković et al, , 2017.…”

Section: Literature Overviewmentioning

confidence: 99%

Effects of drivers evasive behavior on the placement of automated enforcement equipment in highway systems

et al. 2020

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A localização de equipamentos de fiscalização em rodovias é um problema de interesse para várias entidades responsáveis pela manutenção da infraestrutura viária e fiscalização das leis de trânsito. É possível que nesse tipo de situação os veículos busquem ativamente evadir à fiscalização, para manter o lucro associado ao trânsito ilegal ou para evitar as punições da lei. Caso esse efeito não seja considerado nas etapas de planejamento dos sistemas de fiscalização, os transportadores podem facilmente evitar a fiscalização através de aplicativos de planejamento de rotas. Este trabalho procura investigar como tal comportamento evasivo altera a forma com que os equipamentos de fiscalização devem ser localizados na malha rodoviária. Primeiramente, realiza-se uma revisão de como esse problema vem sendo resolvido na literatura, e após isso são realizados experimentos numéricos com um dos principais modelos matemáticos utilizados. Os resultados mostram que a consideração matemática do comportamento de evasão não aumenta de forma expressiva o número de equipamentos que devem ser instalados na malha, mas otimiza a sua localização para que sejam capturados todos os caminhos possíveis para cada par origem-destino (dentro de uma distância máxima de desvio em relação ao menor caminho). Caso o planejamento seja feito sem a consideração da evasão e os veículos apresentem essa tendência, a fiscalização pode ser inefetiva. Por outro lado, caso no planejamento seja considerada uma tendência à evasão maior que a real, todos os veículos serão monitorados com sucesso pelos pontos de monitoramento, sem haver aumento expressivo no custo de implantação.

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A Bilevel Model With a Solution Algorithm for Locating Weigh-In-Motion Stations

Yan

et al. 2018

IEEE Trans. Intell. Transport. Syst.

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Optimizing Truck Weigh Stations’ Locations on the Highway Network of Saudi Arabia

Cited by 3 publications

References 7 publications

Evasive flow capture: Optimal location of weigh‐in‐motion systems, tollbooths, and security checkpoints

Evasive flow capture: Optimal location of weigh‐in‐motion systems, tollbooths, and security checkpoints

Effects of drivers evasive behavior on the placement of automated enforcement equipment in highway systems

A Bilevel Model With a Solution Algorithm for Locating Weigh-In-Motion Stations

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