A Synthesis of emerging data collection technologies and their impact on traffic management applications

European Transport Research Review

Original Paper

Ramachandran Balakrishna¹  Haris N. Koutsopoulos²  Constantinos Antoniou³ 

[1] Caliper Corporation, Newton, MA, USA;Division of Transport and Logistics, The Royal Institute of Technology, Stockholm, Sweden;Laboratory of Transportation Engineering, National Technical University of Athens, Zografou, Greece;

关键词: Emerging data sources;    Traffic surveillance;    Traffic management;    Data fusion;   

DOI  :  10.1007/s12544-011-0058-1

 received in 2010-12-26, accepted in 2011-09-08,  发布年份 2011

来源: Springer

【 摘 要 】

PurposeThe objective of this research is to provide an overview of emerging data collection technologies and their impact on traffic management applications.MethodsSeveral existing and emerging surveillance technologies are being used for traffic data collection. Each of these technologies has different technical characteristics and operating principles, which determine the types of data collected, accuracy of the measurements, levels of maturity, feasibility and cost, and network coverage. This paper reviews the different sources of traffic surveillance data currently employed, and the types of traffic management applications they may support.ResultsAutomated Vehicle Identification data have several applications in traffic management and many more are certain to emerge as these data become more widely available, reliable, and accessible. Representative examples in this field are presented. Furthermore, the fusion of condition information with traffic data can result in better and more responsive dynamic traffic management applications with a richer data background.ConclusionsThe current state-of-the-art of traffic modeling is discussed, in the context of using emerging data sources for better planning, operations and dynamic management of road networks.

【 授权许可】

CC BY   
© The Author(s) 2011. This article is published under license to BioMed Central Ltd. Open Access This article is distributed under the terms of the Creative Commons Attribution License which permits any use, distribution and reproduction in any medium, provided the original author(s) and source are credited.