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Advent of Big Data in Urban Transportation for Smart Cities: Current Progress, Trends, and Future Challenges
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Author(s): Bhargav Naidu Matcha (Taylor's University, Lakeside Campus, India), Sivakumar Sivanesan (Asia Pacific University of Technology and Innovation, Malaysia), K. C. Ng (University of Nottingham, Malaysia), Se Yong Eh Noum (Taylor's University, Malaysia)and Aman Sharma (Taylor's University, Malaysia)
Copyright: 2023
Pages: 60
Source title:
Convergence of Big Data Technologies and Computational Intelligent Techniques
Source Author(s)/Editor(s): Govind P. Gupta (National Institute of Technology, Raipur, India)
DOI: 10.4018/978-1-6684-5264-6.ch001
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Abstract
The application of big data in urban transportation and development of smart cities has been attracting global interest. The overburdened transport infrastructure due to rapid urbanisation should be integrated with innovative technologies and brand-new ideas such as smart city in order to enhance its performance. Big data is now the emerging exemplar in intelligent transportation systems for effective management of all data for implementing safer, cleaner, and well-planned transport services, as well as providing personalised transport experience for road users. In this chapter, the authors lay forward the current research endeavours on big data for urban transportation infrastructure, its implementation, baseline framework, and usage on fields such as planning, routing, network configuration, and infrastructure maintenance. This chapter evaluates the contributions of big data on urban transport modelling techniques, tools, and mobility. Finally, the present trends and future challenges of big data are summarised for helping researchers to facilitate the development of smart cities.
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