Dual Toll Pricing for Hazardous Materials Transport with Linear Delay

Wang, Jiashan; Kang, Yingying; Kwon, Changhyun; Batta, Rajan

doi:10.1007/s11067-011-9156-9

Cited by 34 publications

(12 citation statements)

References 29 publications

(26 reference statements)

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“…In order to understand the impact of the dual toll pricing policy on hazmat risk and travel time (delay), we compare the performance with the minimum travel cost of regular traffic (v so ) and the minimum risk flow of hazmat traffic (u so ) given the regular traffic (v so ). For further validation of the proposed approach, we adopt the same metrics used by Wang et al (2011). …”

Section: Resultsmentioning

confidence: 99%

“…However, the main limitation of the ND policy is not to consider the carriers' priorities such as a travel cost and wastes the usability of certain road segments. Moreover, only restricting certain road segments sometimes cannot rationally adjust the hazmat flows to areas with less risk (Wang et al 2011).…”

Section: Kim Mungle and Sonmentioning

confidence: 99%

“…Unlike the ND policy, the TS policy allows a government agency to consider the drivers' and carriers' priorities such as drivers' preference to avoid the road which has a high risk, and carrier companies try to achieve more profit by choosing the least cost path that reduces an operational cost (Pécheux et al 2004), simultaneously. Recently, Wang et al (2011) suggested a dual toll pricing framework to control both regular and hazmat traffic flows for the public safety since hazmat carriers are not only a part of the hazmat traffic flows, but also belong to, and cannot be separated from the regular traffic flows. By separating the hazmat traffic from the heavy-congestion regular traffic flows, the dual toll policy tries to mitigate severe accident risks and to avoid peak-time traffic congestions.…”

Section: Kim Mungle and Sonmentioning

confidence: 99%

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An agent-based simulation approach for dual toll pricing of hazardous material transportation

Kim

Mungle

Son

2013

2013 Winter Simulations Conference (WSC)

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A dual toll pricing is a conceptual policy in which policy maker imposes toll on both hazardous materials (hazmat) vehicles as well as regular vehicles for using populated road segments to mitigate a risk of hazmat transportation. It intends to separate the hazmat traffic flow from the regular traffic flow via controlling the dual toll. In order to design the dual toll pricing policy on a highly realistic road network environment and detailed human behaviors, an extended BDI framework is employed to mimic human decision behaviors in great detail. The proposed approach is implemented in AnyLogic ® agent based simulation software with using a traffic data of Albany, NY. Also, search algorithms in OptQuest ® are used to determine the optimum dual toll pricing policy which results in the minimum risk and travel cost based on the simulation results. The result reveals the effectiveness of the proposed approach in devising a reliable policy under the realistic road network conditions.

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Section: Resultsmentioning

confidence: 99%

Section: Kim Mungle and Sonmentioning

confidence: 99%

Section: Kim Mungle and Sonmentioning

confidence: 99%

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An agent-based simulation approach for dual toll pricing of hazardous material transportation

Kim

Mungle

Son

2013

2013 Winter Simulations Conference (WSC)

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“…Note though, that as far as applications to general motor vehicles are concerned, the global hazmat transportation problem is not particularly transferable, as the primary reason to consider a risk equity criterion is related to considerable change in risk exposure of the communities due to relatively heavy hazmat traffic. Furthermore, for obvious reasons, we will also not consider the policy-making literature discussing important decisions such as (a) road segments closure [29], (b) toll-setting [30][31][32][33], (c) locating waste treatment centers in safe sites [34][35][36][37][38], (d) locating hazmat emergency response teams [39][40][41], etc.…”

Section: Background: Hazmat Trucking Operationsmentioning

confidence: 99%

A Review of Data Analytic Applications in Road Traffic Safety. Part 2: Prescriptive Modeling

Cai

Mohabbati-Kalejahi

et al. 2020

Sensors

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In the first part of the review, we observed that there exists a significant gap between the predictive and prescriptive models pertaining to crash risk prediction and minimization, respectively. In this part, we review and categorize the optimization/ prescriptive analytic models that focus on minimizing crash risk. Although the majority of works in this segment of the literature are related to the hazardous materials (hazmat) trucking problems, we show that (with some exceptions) many can also be utilized in non-hazmat scenarios. In an effort to highlight the effect of crash risk prediction model on the accumulated risk obtained from the prescriptive model, we present a simulated example where we utilize four risk indicators (obtained from logistic regression, Poisson regression, XGBoost, and neural network) in the k-shortest path algorithm. From our example, we demonstrate two major designed takeaways: (a) the shortest path may not always result in the lowest crash risk, and (b) a similarity in overall predictive performance may not always translate to similar outcomes from the prescriptive models. Based on the review and example, we highlight several avenues for future research.

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“…Finally, Wang et al (2012) propose a model assuming that both hazmat traffic and regular traffic affect population safety, since congestion increases delay and then accident probabilities. The idea is to control both regular and hazmat traffic via toll setting.…”

Section: Literature Overviewmentioning

confidence: 99%

A Game-Theoretic Approach for Regulating Hazmat Transportation

Bianco

Caramia

Giordani

et al. 2016

Transportation Science

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I n this paper, we study a novel toll setting policy to regulate hazardous material (hazmat) transportation, where the regulator (e.g., a government authority) aims at minimizing not only the network total risk but also at spreading the risk in an equitable way over a given road network. The idea is to use a toll setting policy to discourage carriers transporting hazmat from overloading portions of the network with the consequent increase of the risk exposure of the population involved. Specifically, we assume that the toll paid by a carrier on a network link depends on the usage of that link by all carriers. Therefore the route choices of each carrier depend on the other carrier's choices, and the tolls deter the carriers from using links with a high total risk. The resulting model is a mathematical programming with equilibrium constraints (MPEC) problem, where the inner problem is a Nash equilibrium problem (game) having as players the carriers, each one wishing to minimize his or her travel cost (including tolls); the outer problem is addressed by the government authority, whose aim is finding the link tolls that induce the carriers to choose route plans that minimize both the network total risk and the maximum link total risk among the network links (to address risk equity). To guarantee the stability of the solution, we study conditions for the existence and uniqueness of the Nash equilibrium, and propose a local search heuristic for the MPEC problem. Computational results are carried out on a real road network, comparing the performance of our toll setting policy with the toll setting approach proposed in the literature.

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Dual Toll Pricing for Hazardous Materials Transport with Linear Delay

Cited by 34 publications

References 29 publications

An agent-based simulation approach for dual toll pricing of hazardous material transportation

An agent-based simulation approach for dual toll pricing of hazardous material transportation

A Review of Data Analytic Applications in Road Traffic Safety. Part 2: Prescriptive Modeling

A Game-Theoretic Approach for Regulating Hazmat Transportation

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