Dynamic location models of mobile sensors for travel time estimation on a freeway

• Autorzy: Sun Weiwei , Shen Liang , Shao Hu , Liu Pengjie

Identyfikatory

DOI

10.34768/amcs-2021-0019

• Języki publikacji: EN

Abstrakty

EN

Travel time estimation for freeways has attracted much attention from researchers and traffic management departments. Because of various uncertain factors, travel time on a freeway is stochastic. To obtain travel time estimates for a freeway accurately, this paper proposes two traffic sensor location models that consider minimizing the error of travel time estimation and maximizing the collected traffic flow. First, a dynamic optimal location model of the mobile sensor is proposed under the assumption that there are no traffic sensors on a freeway. Next, a dynamic optimal combinatorial model of adding mobile sensors taking account of fixed sensors on a freeway is presented. It should be pointed out that the technology of data fusion will be adopted to tackle the collected data from multiple sensors in the second optimization model. Then, a simulated annealing algorithm is established to find the solutions of the proposed two optimization models. Numerical examples demonstrate that dynamic optimization of mobile sensor locations for the estimation of travel times on a freeway is more accurate than the conventional location model.

Słowa kluczowe

EN

traffic mobile sensor; dynamic location model; travel time estimation; simulated annealing algorithm; data fusion

PL

czujnik ruchu; model lokalizacji; szacowanie czasu podrózy; fuzja danych

• Wydawca: Oficyna Wydawnicza Uniwersytetu Zielonogórskiego
• Czasopismo: International Journal of Applied Mathematics and Computer Science
• Rocznik: 2021
• Tom: Vol. 31, no. 2
• Strony: 271--287
• Opis fizyczny: Bibliogr. 41 poz., tab., wykr.

Twórcy

autor

Sun Weiwei

• School of Mathematics, China University of Mining and Technology, 1 Daxue Road, Tongshan District, Xuzhou 221116, China; School of Mathematics and Statistics, Fuyang Normal University, 100 Qinghe Road, Yingzhou District, Fuyang 236037, China

autor

Shen Liang

• School of Management, Xuzhou Medical University, 209 Tongshan Road, Gulou District, Xuzhou 221004, China

autor

Shao Hu

• School of Mathematics, China University of Mining and Technology, 1 Daxue Road, Tongshan District, Xuzhou 221116, China

autor

Liu Pengjie

• College of Mathematics and Information Science, Guangxi University, 100 Daxue Road, Xixiangtang District, Nanning 530004, China

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).