A progressive hybrid set covering based algorithm for the traffic counting location problem

被引:10
|
作者
Vieira, Bruno S. [1 ]
Ferrari, Thayse [1 ]
Ribeiro, Glaydston M. [1 ]
Bahiense, Laura [1 ,2 ]
Orrico Filho, Romulo D. [1 ]
Abramides, Carlos Alberto [3 ]
Rosa Campos Junior, Nilo Flavio, Jr. [3 ]
机构
[1] Univ Fed Rio de Janeiro, Grad Sch & Res Engn, Alberto Luiz Coimbra Inst, Transportat Engn Program, Rio De Janeiro, Brazil
[2] Univ Fed Rio de Janeiro, Grad Sch & Res Engn, Alberto Luiz Coimbra Inst, Syst Engn & Comp Sci Program, Rio De Janeiro, Brazil
[3] Dept Nacl Infraestrutura Transportes, Brasilia, DF, Brazil
关键词
Location; Traffic counters; Mathematical programming; Set covering; Exact and heuristic methods; MATRIX ESTIMATION; ALLOCATION; NETWORK; MODELS;
D O I
10.1016/j.eswa.2020.113641
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This work tackles the Traffic Counting Location Problem (TCLP), where we aim finding the best number and location of counting stations to cover a road network in order to obtain its traffic flows. It is important to reduce deployment, maintenance and operation costs of traffic stations. We propose a progressive hybrid algorithm based on exact, heuristic and hybrid approaches embedded on a set covering framework to solve the TCLP. This algorithm employs a simple and innovative concept which has not yet been explored in the literature. Twenty-six real-world instances obtained from the Brazilian states are used in the computational experiments and the results show that the TCLP can be solved more efficiently than previous approaches, with 84% of the instances solved optimally, and three new best known solutions found. (c) 2020 Elsevier Ltd. All rights reserved.
引用
收藏
页数:10
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