Path Travel Time Estimating Method by Incomplete Traffic Data

التفاصيل البيبلوغرافية
العنوان: Path Travel Time Estimating Method by Incomplete Traffic Data
المؤلفون: Ryuichi Tani, Takashi Owada, Kenetsu Uchida
المصدر: International Journal of Intelligent Transportation Systems Research. 18:43-52
بيانات النشر: Springer Science and Business Media LLC, 2018.
سنة النشر: 2018
مصطلحات موضوعية: Multivariate statistics, Computer science, General Neuroscience, Applied Mathematics, Maximum likelihood, Aerospace Engineering, Inference, Bayesian inference, Computer Science Applications, Travel time, Distribution (mathematics), Control and Systems Engineering, Automotive Engineering, Path (graph theory), Algorithm, Software, Information Systems
الوصف: This study proposes a method estimating stochastic path travel times by using both traffic counter data and probe car data complementarily. A stochastic traffic demand for each O-D pair in a road network is estimated by maximum likelihood estimation with respect to traffic counter data. Stochastic path travel times are addressed as a prior multivariate path travel time distribution. The estimated stochastic path travel time is updated by applying Bayesian inference using observed probe car data. The updated path travel time can be regarded as a posterior multivariate path travel time distribution. Numerical experiments demonstrate inference processes of path travel time and verify our proposed model.
تدمد: 1868-8659
1348-8503
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::91170c4394e2a8b3b44f353f4b5e2ca3
https://doi.org/10.1007/s13177-018-0168-4
حقوق: CLOSED
رقم الأكسشن: edsair.doi...........91170c4394e2a8b3b44f353f4b5e2ca3
قاعدة البيانات: OpenAIRE