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Probe People and Vehicle-Based Data Sources Application in Smart Transportation
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Author(s): Sina Dabiri (Virginia Tech, USA), Kaveh Bakhsh Kelarestaghi (ICF Incorporated LLC, USA)and Kevin Heaslip (Virginia Tech, USA)
Copyright: 2020
Pages: 34
Source title:
Artificial Intelligence and Machine Learning Applications in Civil, Mechanical, and Industrial Engineering
Source Author(s)/Editor(s): Gebrail Bekdaş (Istanbul University-Cerrahpaşa, Turkey), Sinan Melih Nigdeli (Istanbul University-Cerrahpaşa, Turkey)and Melda Yücel (Istanbul University-Cerrahpaşa, Turkey)
DOI: 10.4018/978-1-7998-0301-0.ch010
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Abstract
Smart transportation is a framework that leverages the power of Information and Communication Technology for acquisition, management, and mining of traffic-related data sources. This chapter categorizes them into probe people and vehicles based on Global Positioning Systems, mobile phone cellular networks, and Bluetooth, location-based social networks, and transit data with the focus on smart cards. For each data source, the operational mechanism of the technology for capturing the data is succinctly demonstrated. Secondly, as the most salient feature of this study, the transport-domain applications of each data source that have been conducted by the previous studies are reviewed and classified into the main groups. Possible research directions are provided for all types of data sources. Finally, authors briefly mention challenges and their corresponding solutions in smart transportation.
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