Journal of Mobile Multimedia 2022 Best Paper Award for their paper Mobile Crowd-sourced Data Fusion and Urban Traffic Estimation. This paper introduces a novel approach to urban traffic estimation, utilizing crowd-sourced data from drivers and mobile users through GPS-equipped devices. The proposed system was successfully deployed in Ho Chi Minh City, Vietnam.
Editorial Board Members
- Shin-Ming Cheng, National Taiwan University of Science and Technology, Taiwan
- Ioannis P. Chochliouros,Hellenic Telecommunications Organization S.A.(OTE),Greece
- Ernestina Cianca, University of Rome Tor Vergatta, Italy
- Suvra Das, IIT Kharagpur, India
- Martin Fleury, Essex University, UK
- Sami Habib, Kuwait University, Kuwait
- Abdelhakim Hafid, Telcordia Technologies Inc., USA
- Sumi Helal, University of Florida, USA
- Stavros Kalafatis, Texas A&M University
- Joseph Kee-Yin Ng, Hong Kong Baptist University, HK
- Clement Leung, Hong Kong Baptist University, HK
- Chi Lin, Dalian University of Technology, China
- Antonio Liotta, Eindhoven Univ. of Technology, Netherlands
- Seng W. Loke, La Trobe University, Australia
- Beniamino Di Martino, Second University of Naples, Italy
- Rene Mayhofer, University of Applied Science, Austria
- Max MÜhlhäuser, Darmstadt U of Technology, Germany
- Stephan Olariu, Old Dominion University, USA
- Hung-Ta Pai, National Taipei university
- Fernando Rosas, Imperial College, UK
- Alexandre Jean René Serres, Universidade Federal de Campina Grande, Brazil.
- Timothy K. Shih, Central Taiwan University, Taiwan
- Tsutomu Terada, Kobe University, Japan
- Hui Tian, Beijing University of Telecommunications and Posts, China
- Chih-Cheng Tseng National Ilan University, Taiwan
- Ismail Uysal, University of South Florida, USA
- Zaharias D. Zaharis, Aristotle University, Thessaloniki, Greece
- Yue Zhang, University of Leicester, UK