Optimal Deployment of Cordon Sanitaire with Available Testing Capacity
Transportation Research Record
; 2677:313-323, 2023.
Article
in English
| Scopus | ID: covidwho-2316618
ABSTRACT
During the COVID-19 pandemic, authorities in many places have implemented various countermeasures, including setting up a cordon sanitaire to restrict population movement. This paper proposes a bi-level programming model to deploy a limited number of parallel checkpoints at each entry link around the cordon sanitaire to achieve a minimum total waiting time for all travelers. At the lower level, it is a transportation network equilibrium with queuing for a fixed travel demand and given road network. The feedback process between trip distribution and trip assignment results in the predicted waiting time and traffic flow for each entry link. For the lower-level model, the method of successive averages is used to achieve a network equilibrium with queuing for any given allocation decision from the upper level, and the reduced gradient algorithm is used for traffic assignment with queuing. At the upper level, it is a queuing network optimization model. The objective is the minimization of the system's total waiting time, which can be derived from the predicted traffic flow and queuing delay time at each entry link from the lower-level model. Since it is a nonlinear integer programming problem that is hard to solve, a genetic algorithm with elite strategy is designed. An experimental study using the Nguyen-Dupuis road network shows that the proposed methods effectively find a good heuristic optimal solution. Together with the findings from two additional sensitivity tests, the proposed methods are beneficial for policymakers to determine the optimal deployment of cordon sanitaire given limited resources. © National Academy of Sciences Transportation Research Board 2021.
highway network; network screening; operations; regional transportation systems management and operations; safety; sustainability and resilience; transportation and public health; transportation and society; transportation network design; transportation safety management systems; Accident prevention; COVID-19; Genetic algorithms; Heuristic methods; Integer programming; Motor transportation; Queueing networks; Queueing theory; Safety testing; Traffic control; Highway networks; Network design; Operation; Regional transportation; Regional transportation system management and operation; Safety management systems; Systems operation; Transportation network; Transportation safety; Transportation safety management system; Transportation systems management; Roads and streets
Full text:
Available
Collection:
Databases of international organizations
Database:
Scopus
Language:
English
Journal:
Transportation Research Record
Year:
2023
Document Type:
Article
Similar
MEDLINE
...
LILACS
LIS