Volume 53, Number 4, October 2019
|Page(s)||1109 - 1127|
|Published online||29 July 2019|
The support unit location problem to road traffic surveys with multi-stages
Federal University of Rio de Janeiro – UFRJ Alberto Luiz Coimbra Institute for Graduate Studies and Research in Engineering – COPPE, Av. Horácio Macedo, 2030, Cidade Universitária, 21941-450 Rio de Janeiro, RJ, Brazil
* Corresponding author: email@example.com
Accepted: 30 October 2017
Large countries with extensive road networks, such as Brazil, require large volumes of financial resources to perform traffic surveys. In Brazil, the biggest road traffic survey was performed in 2011 with 120 counting survey stations. This survey was divided into three stages and 83 support units provided survey teams. A support unit is a place, such as a military organization, close to the survey stations. A stage indicates that only some survey stations must be considered at a time. In large scale traffic surveys with multi-stages, we must define which support unit will serve each survey station so that travel costs for the survey teams and the costs to use the support units are minimized. We present the Support Unit Location Problem to Assist Road Traffic Survey with Multi-Stages where, given a set of available support units, each one with a coverage area, and a set of multi-stage traffic survey stations, we must select units to serve stations so that the cost is minimized. Scenarios are evaluated for a real traffic survey with 300 counting stations and four stages in Brazil. Computational experiments show that large cost reductions can be found when a mathematical model is used.
Mathematics Subject Classification: 90B06 / 90C10 / 90C27 / 90C90
Key words: Road traffic survey / traffic counting location / facility location / mathematical modeling
© EDP Sciences, ROADEF, SMAI 2019
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.