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Big Data Analytics and Internet of Things for Urban Transportation: A Case of Pune City, Maharashtra, India
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Author(s): Jyoti Chandiramani (Symbiosis International University (Deemed), India)and Sushma Nayak (Symbiosis International University (Deemed), India)
Copyright: 2019
Pages: 34
Source title:
Big Data Analytics for Smart and Connected Cities
Source Author(s)/Editor(s): Nilanjan Dey (Techno India College of Technology, India)and Sharvari Tamane (Jawaharlal Nehru Engineering College, India)
DOI: 10.4018/978-1-5225-6207-8.ch011
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Abstract
The idea of smart city has assumed popularity in numerous countries across the globe. In 2015, the Government of India embarked on a mission of creating 100 smart cities to sustain the burgeoning urban population. While a wide-ranging set of fundamentals has a key role in enhancing the quality of life of citizens, the chapter revolves around transportation issues and traffic management concerns in one of India's smart cities, Pune. Transport is one of the few areas where Pune lags behind compared to its urban counterparts in the country. Public transportation in the city has been ineffectual, and auto rickshaws have been unyielding and pricey, thus making it imperative to possess personal vehicles or resort to app-based cab services. A palpable outcome of this has been traffic congestion that leads to slower travelling speeds, extended trip times, and amplified vehicular queuing. Big data and IoT can make a considerable impact in realizing the smart city objectives for efficient transportation in Pune by serving as complementary measures to supply-side policies.
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