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ToolsAkhtar, Rafi, Arqam, Mohammad, Alam, Mohammad Saad, Rafat, Yasser and Hameed, Salman (2022) Transportation and Parking Framework for Pollution-Free AMU Campus:A Case Study. In: Computational Modelling in Industry 4.0. Springer Nature, pp. 325-335. ISBN 9789811677229
Full text not available from this repository. (Request a copy)Abstract
Air pollution and climate change have become one of the major contemporary concerns for the entire world and if not addressed well the challenge is only going to surge in future that may be catastrophic for lives on the planet. Since the number of vehicles increasing rapidly transportation has become one of the major contributors to air pollution. Hence, there is a need to propose and develop a proper yet smart transportation and parking system to minimize the pollution and congestion problems. This chapter reveals the impacts of emission on campus life through providing an estimate of different pollutants emitted from the vehicles coming in and out of the campus. For a campus like AligarhMuslim University (AMU), a different approach is required as the number of commutators does not vary largely and the major inflow is of two-wheelers. Appropriate locations for vehicle parking facility to be constituted have been identified to optimize the vehicle running time. Moreover, an IoT-based smart parking system framework for the pollution-free AMU campus has been conceptualized.
| Item Type: | Book Section |
|---|---|
| Additional Information: | Publisher Copyright: © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2022. |
| Uncontrolled Keywords: | general engineering,general chemistry ,/dk/atira/pure/subjectarea/asjc/2200/2200 |
| Faculty \ School: | Faculty of Science > School of Engineering, Mathematics and Physics |
| Related URLs: | |
| Depositing User: | LivePure Connector |
| Date Deposited: | 30 Jun 2026 14:22 |
| Last Modified: | 30 Jun 2026 14:22 |
| URI: | https://ueaeprints.uea.ac.uk/id/eprint/103570 |
| DOI: | 10.1007/978-981-16-7723-6_17 |
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