 Road traffic estimation and algorithmic routing in a spatially dependent networkRens Kamphuis, Michel Mandjes and Paulo Serra Scandinavian Journal of Statistics, 2025, vol. 52, issue 2, 1058-1091 Abstract: This work concerns a procedure to estimate the joint distribution of the per‐edge travel times in a road traffic network with spatial dependence. The constructed estimator, based on the realized travel times of a collection of independently operating probe vehicles traversing the network, is shown to be consistent and rate‐optimal. The obtained estimates of the joint travel‐time distribution can be used in routing policies. In particular, as realized travel times are observed en route to the destination, spatial dependence can be leveraged to iteratively update the predictive distribution of the remaining travel time. Importantly, we can deal with general objective functions, reflecting the individual traveler's specific risk aversion, including ones that involve the uncertainty of the estimates. Through a series of numerical experiments, we systematically study the estimator's performance in combination with specific routing policies and objective functions. Date: 2025 Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:bla:scjsta:v:52:y:2025:i:2:p:1058-1091 Ordering information: This journal article can be ordered from Access Statistics for this article Scandinavian Journal of Statistics is currently edited by ÿrnulf Borgan and Bo Lindqvist More articles in Scandinavian Journal of Statistics from Danish Society for Theoretical Statistics, Finnish Statistical Society, Norwegian Statistical Association, Swedish Statistical Association |
Is your work missing from RePEc? Here is how to contribute.
Questions or problems? Check the EconPapers FAQ or send mail to .
EconPapers is hosted by the
School of Business at Örebro University.