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Accurate and Cost-Effective Traffic Information Acquisition using Adaptive Sampling: Centralized and V2V Schemes

  • Published:2017 Issue: Volume:23 Page:61-80
  • ISSN:2352-1465
  • Container-title:Transportation Research Procedia
  • language:en
  • Short-container-title:Transportation Research Procedia

Author:

Lim Shiau Hong,Chia Yeow Khiang,Wynter Laura

Publisher

Elsevier BV

Reference19 articles.

1. Communication reduction for floating car data-based traffic information systems;Ayala,2010

2. Vehicular ad-hoc networks sampling protocols for traffic monitoring and incident detection in intelligent transportation systems;Baiocchi;Transportation Research Part C: Emerging Technologies,2015

3. Concentration inequalities;Boucheron,2004

4. On the lambertw function;Corless;Advances in Computational mathematics,1996

5. Traffic estimation and prediction based on real time floating car data, in: Intelligent Transportation Systems, 2008;De Fabritiis,2008

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Enhance Intelligent Method for Accident Detection and Best Road Choosing to Prevent Congestion in VANET Vehicle;2023 IEEE Afro-Mediterranean Conference on Artificial Intelligence (AMCAI);2023-12-13

2. Pseudonym change-based privacy-preserving schemes in vehicular ad-hoc networks: A survey;Journal of Information Security and Applications;2020-12

3. Data transmission and real-time information acquisition based on fine-grained algorithm and wireless network;Peer-to-Peer Networking and Applications;2019-12-11

4. State-dependent self-adaptive sampling (SAS) method for vehicle trajectory data;Transportation Research Part C: Emerging Technologies;2019-03
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