A hybrid solution method for the bi-objective traffic counting location problem using previous origin-destination trip tables
DOI10.1007/s11081-023-09789-wzbMath1527.90123OpenAlexW4360818586MaRDI QIDQ6088551
Glaydston Mattos Ribeiro, Thayse Ferrari, Bruno Salezze Vieira, Saul Germano Rabello Quadros, Marcus Vinicius Oliveira Camara
Publication date: 16 November 2023
Published in: Optimization and Engineering (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s11081-023-09789-w
multiple objective programmingbi-objective optimizationreal-world problemO-D trip tabletraffic counting location problem (TCLP)
Multi-objective and goal programming (90C29) Transportation, logistics and supply chain management (90B06) Performance evaluation, queueing, and scheduling in the context of computer systems (68M20) Traffic problems in operations research (90B20) Discrete location and assignment (90B80)
Cites Work
- Vehicle-ID sensor location for route flow recognition: models and algorithms
- Combinatorial aspects of the sensor location problem
- The generalized maximum coverage problem
- A generalization of Dijkstra's algorithm
- Progressive genetic algorithm for solution of optimization problems with nonlinear equality and inequality constraints
- An adaptive direct multisearch method for black-box multi-objective optimization
- Parsimonious formulations for low-diameter clusters
- Models and algorithms for the screen line-based traffic-counting location problems
- Optimal Location of Discretionary Service Facilities
- Evasive flow capture: Optimal location of weigh‐in‐motion systems, tollbooths, and security checkpoints
- The support unit location problem to road traffic surveys with multi-stages
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