大数据在智慧城市城市交通中的到来:当前进展、趋势和未来挑战

作者: 时间:2023-11-07 点击数:

Bhargav Naidu Matcha, Sivakumar Sivanesan, KC Ng, Se Yong Eh Noum, Aman Sharma



    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.

Key words:Big data,Intelligent Transportation System,Smart City,traffic planning ,Traffic model,Traffic Data Analysis,Traffic Data Visualization

DOI:10.4018/978-1-6684-5264-6.ch001

Date:2023


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