Data-Driven Intelligent Transportation Systems: A Survey
Top Cited Papers
- 22 July 2011
- journal article
- research article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Intelligent Transportation Systems
- Vol. 12 (4), 1624-1639
- https://doi.org/10.1109/tits.2011.2158001
Abstract
For the last two decades, intelligent transportation systems (ITS) have emerged as an efficient way of improving the performance of transportation systems, enhancing travel security, and providing more choices to travelers. A significant change in ITS in recent years is that much more data are collected from a variety of sources and can be processed into various forms for different stakeholders. The availability of a large amount of data can potentially lead to a revolution in ITS development, changing an ITS from a conventional technology-driven system into a more powerful multifunctional data-driven intelligent transportation system (D2ITS) : a system that is vision, multisource, and learning algorithm driven to optimize its performance. Furthermore, D2ITS is trending to become a privacy-aware people-centric more intelligent system. In this paper, we provide a survey on the development of D2ITS, discussing the functionality of its key components and some deployment issues associated with D2ITS Future research directions for the development of D2ITS is also presented.Keywords
This publication has 118 references indexed in Scilit:
- Semi-supervised Elastic net for pedestrian countingPattern Recognition, 2010
- Kernel dimension reduction in regressionThe Annals of Statistics, 2009
- Predicting Real-Time Roadside CO and $\hbox{NO}_{2}$ Concentrations Using Neural NetworksIEEE Transactions on Intelligent Transportation Systems, 2008
- Video-Based Lane Estimation and Tracking for Driver Assistance: Survey, System, and EvaluationIEEE Transactions on Intelligent Transportation Systems, 2006
- Data mining, data fusion and information managementIEE Proceedings - Intelligent Transport Systems, 2006
- A Reinforcement Learning Approach to Streetcar Bunching ControlJournal of Intelligent Transportation Systems, 2005
- Transportation data visualisation and mining for emergency managementInternational Journal of Critical Infrastructures, 2005
- Pedestrian Detection for Driver Assistance Using Multiresolution Infrared VisionIEEE Transactions on Vehicular Technology, 2004
- Toward intelligent driver-assistance and safety warning systemIEEE Intelligent Systems, 2004
- A survey of video processing techniques for traffic applicationsImage and Vision Computing, 2003