Surrogate-based optimization for the design of area charging schemes under environmental constraints

Rodriguez-Roman, Daniel; Ritchie, Stephen G.

doi:10.1016/j.trd.2019.04.015

Cited by 12 publications

(3 citation statements)

References 30 publications

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“…The cordon pricing problem is still an exciting topic in transportation research, and there are several directions for future research. First, a logsum-based social welfare computation before and after a change in the travel environment could be used as an essential policy evaluation measure [ 10 , 11 ]. Provided that logit choice models are widely adopted to simulate a consumer's response to a policy, consumer surplus can be easily computed using the model's logsum.…”

Section: Introductionmentioning

confidence: 99%

Scientific planning of urban cordon sanitaire for desired queuing time

Lin

Zhang

2023

Socio-Economic Planning Sciences

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Section: Introductionmentioning

confidence: 99%

Scientific planning of urban cordon sanitaire for desired queuing time

Lin

Zhang

2023

Socio-Economic Planning Sciences

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“…Firstly, a logsum-based welfare computation before and after a change in the travel environment is used as an essential policy evaluation measure [18,19]. Provided that logit choice models are widely adopted to simulate the response of consumers to a policy, consumer surplus can be easily computed using the model's logsum.…”

Section: Introductionmentioning

confidence: 99%

Optimal Design of Cordon Sanitaire for Regular Epidemic Control

Lin

2021

Advances in Civil Engineering

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The outbreak of COVID-19 has disrupted our regular life. Many state and local authorities have enforced a cordon sanitaire for the protection of sensitive areas. Travelers can only travel across the cordon after being qualified. This paper aims to propose a method to determine the optimal deployment of cordon sanitaire in terms of the number of parallel checkpoints at each entry link for regular epidemic control. A bilevel programming model is formulated where the lower-level is the transport system equilibrium with queueing to predict traffic inflow, and the upper-level is queueing network optimization, which is an integer nonlinear programming. The objective of this optimization is to minimize the total operation cost of checkpoints with a predetermined maximum waiting time. Note that stochastic queueing theory is used to represent the waiting phenomenon at each entry link. A heuristic algorithm is designed to solve the proposed bilevel model where the method of successive averages (MSA) is adopted for the lower-level model, and the genetic algorithm (GA) is adopted for the upper-level model. An experimental study is conducted to demonstrate the effectiveness of the proposed method and algorithm. The results show that the methods can find a good heuristic optimal solution. These methods are useful for policymakers to determine the optimal deployment of cordon sanitaire for hazard prevention and control.

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“…Cordon pricing is still a hot topic in transportation research, and there are several directions for future research. Firstly, a logsum-based welfare computation before and after a change in the travel environment could be used as an essential policy evaluation measure [20,21]. Given that various logit choice models are widely adopted to simulate the response of consumers to a policy, consumer surplus can be easily computed using the model's logsum.…”

Section: Introductionmentioning

confidence: 99%

Multi‐objective optimization of cordon sanitaire with vehicle waiting time constraint

Lin

2021

IET Intelligent Trans Sys

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The outbreak of COVID‐19 has disrupted our regular life. Many local authorities have enforced a cordon sanitaire for the protection of sensitive areas. Travelers can only travel across the cordon after getting qualified. This paper aims to propose a method to determine the optimal deployment of cordon sanitaire in terms of the number of parallel checkpoints at each entry link. A bi‐level multi‐objective programming model is formulated where the lower‐level is the transportation system equilibrium with queueing to predict link traffic flow, and the upper‐level is queueing network optimization that is a multi‐objective integer non‐linear programming. The primary objective is to minimize the total operation cost of checkpoints with a predetermined waiting time constraint and the secondary objective is to minimize system total travel time. A heuristic algorithm is designed to solve the proposed bi‐level model where the method of successive averages is adopted for the lower‐level model, and a hybrid genetic algorithm is designed for the upper‐level model. An experimental study is conducted to demonstrate the effectiveness of the proposed methods. The results show that the methods can find a good heuristic optimal solution. These methods are useful for operators to determine the optimal deployment of cordon sanitaire.

show abstract

Surrogate-based optimization for the design of area charging schemes under environmental constraints

Cited by 12 publications

References 30 publications

Scientific planning of urban cordon sanitaire for desired queuing time

Scientific planning of urban cordon sanitaire for desired queuing time

Optimal Design of Cordon Sanitaire for Regular Epidemic Control

Multi‐objective optimization of cordon sanitaire with vehicle waiting time constraint

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