Mobile Crowd-sourced Data Fusion and Urban Traffic Estimation

Authors

  • Quang Tran Minh 1Faculty of Computer Science and Engineering, Ho Chi Minh City University of Technology (HCMUT), 268 Ly Thuong Kiet, District 10, Ho Chi Minh City, Vietnam 2Vietnam National University Ho Chi Minh City (VNU-HCM), Linh Trung Ward, Thu Duc District, Ho Chi Minh City, Vietnam https://orcid.org/0000-0003-1408-2919
  • Phat Nguyen Huu School of Electrical and Electronic Engineering, Hanoi University of Science Technology, 1 Dai Co Viet Rd., Hanoi – Vietnam https://orcid.org/0000-0003-2734-5781
  • Takeshi Tsuchiya Suwa University of Science, Japan

DOI:

https://doi.org/10.13052/jmm1550-4646.1844

Keywords:

Urban traffic estimation, traffic condition, crowd-sourcing, GPS data, ITS

Abstract

Urban traffic estimation is one of the critical tasks for intelligent transportation systems (ITS). To estimate traffic condition, accurately and timely traffic data must be sensed frequently at every location around the city utilizing multimedia data fusion and analytics. This paper proposes a novel approach to urban traffic data collection and analysis leveraging crowd-sourced data from drivers and mobile users. Concretely, we have proposed solutions for mobile crowd-sourced data fusion to which just the right traffic data is collected automatically by GPS modules equipped in mobile devices. In addition, mechanisms for data validation and analytics for traffic estimation have been devised. Consequently, a mobile application is developed and provided to public users so that they can conveniently collect and share traffic data to the system. Besides, users can access traffic information and ITS services such as routing recommendation freely. The proposed system has been deployed for a real-world application in Ho Chi Minh City (HCMC), the largest city in Vietnam. Experimental results from real-field data confirm the feasibility, effectiveness and efficiency of the proposed approaches.

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Author Biographies

Quang Tran Minh, 1Faculty of Computer Science and Engineering, Ho Chi Minh City University of Technology (HCMUT), 268 Ly Thuong Kiet, District 10, Ho Chi Minh City, Vietnam 2Vietnam National University Ho Chi Minh City (VNU-HCM), Linh Trung Ward, Thu Duc District, Ho Chi Minh City, Vietnam

Quang Tran Minh is an associate professor at Faculty of Computer Science and Engineering, Hochiminh City University of Technology, Vietnam and a visiting researcher at Shibaura Institute of Technology, Tokyo, Japan. He has been a researcher at Network Design Department, KDDI Research Inc., Japan (2014–2015) and a researcher at Principles of Informatics Research Division, National Institute of Informatics (NII), Japan (2012–2014). His research interests include mobile and ubiquitous computing, IoT, network design and traffic analysis, disaster recovery systems, data mining, and ITS systems. Prof. Quang received his Ph.D. in Functional Control Systems from Shibaura Institute of Technology. He is a member of IEEE, ACM.

Phat Nguyen Huu, School of Electrical and Electronic Engineering, Hanoi University of Science Technology, 1 Dai Co Viet Rd., Hanoi – Vietnam

Phat Nguyen Huu received his B.E. (2003), M.S. (2005) degrees in Electronics and Telecommunications at Hanoi University of Science and Technology (HUST), Vietnam, and Ph.D. degree (2012) in Computer Science at Shibaura Institute of Technology, Japan. Currently, he lecturer at School of Electronics and Telecommunications, HUST Vietnam. His research interests include digital image and video processing, wireless networks, ad hoc and sensor network, and intelligent traffic system (ITS) and internet of things (IoT). He received the best conference paper award in SoftCOM (2011), best student grant award in APNOMS (2011), hisayoshi yanai honorary award by Shibaura Institute of Technology, Japan in 2012.

Takeshi Tsuchiya, Suwa University of Science, Japan

Takeshi Tsuchiya received his Ph.D degree (2009) in Engineering at Waseda University, Japan. Currently, he is an Associate Professor of Department of Applied Information Engineering at Suwa University of Science. His recent interests include distributed collaborate system, distributed machine learning platform, and web marketing prediction system. He is member of IEICE, IPSJ, and IEEE.

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Published

2022-03-16

How to Cite

Minh, Q. T. ., Huu, P. N. ., & Tsuchiya, T. . (2022). Mobile Crowd-sourced Data Fusion and Urban Traffic Estimation. Journal of Mobile Multimedia, 18(04), 1035–1062. https://doi.org/10.13052/jmm1550-4646.1844

Issue

2022: Vol 18 Iss 4

Section

Articles

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