Analysis of a Three-Dimensional Multilevel Parking Using Analysis Tool
DOI:
https://doi.org/10.32628/IJSRCEAbstract
Parking is a critical component of transportation policy and management for any locality especially for the large central cities. The policies and management practices affecting parking lead to outcomes that, in turn, can affect land use, air quality, traffic congestion, travel behaviour, safety, and economic development, not to mention revenue lines. Yet, effectively managing parking is an ongoing battle for the large central cities as they face competing, and sometimes contradictory, objectives along with an ever increasing demand for space.Multi level Smart parking is proposed with a structure G+4 and the designing of the structure is done using computer aided applications namely Autodesk Autocadd and Autodesk 3d Max and analyzed the structure considering seismic zone as per I.S. 1893-I:2016 using Bentley Staad.Pro. Bhopal is ranked on 20th number in calculus of traffic congestion. The results stated Building displacement was found to be within permissible limit in all direction, hence safe in seismic hazards. Unbalance forces are observed linear in all the stories as sections adopted are safe in designing. Vertical forces are observed linear in distribution of load. Bending moment is observed linear in all the storey which will provide linear requirement of steel in the RCC members
Downloads
References
T. N. Pham, M.-F. Tsai, D. B. Nguyen, C.-R. Dow, D.-J. Deng, A Cloud-Based Smart-Parking System Based on Internet-of-Things Technologies, Special Section On Emerging Cloud-Based Wireless Communications And Networks, vol. 3, pp. 1581-1591, 2015
Yanxu Zheng, S. Rajasegarar, C. Leckie, Parking Availability Prediction for Sensor-Enabled Car Parks in Smart Cities, 2015 IEEE Tenth International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP), pp. 1-5, Singapore, 7-9 April 2015
Naourez .Mejri, M. Ayari, R. Langar, L. Saidane,- Reservation-based MultiObjective Smart Parking Approach for Smart Cities, IEEE International Smart Cities Conference (ISC2), pp. 1-6, 2016
Prabhu Ramaswamy :IoT Smart Parking System for Reducing Green House Gas Emission, 2016 Fifth International Conference On Recent Trends In Information Technology, pp. 1-6, 2016
Yang, J. Portilla, J.and Riesgo, T. (2012, October). Smart parking service based on wireless sensor networks. In IECON 2012-38th Annual Conference on IEEE Industrial Electronics Society (pp. 6029-6034). IEEE.
Patil, M., and Bhonge, V. N. (2013). Wireless sensor network and RFID for smart parking system. International Journal of Emerging Technology and Advanced Engineering, 3(4), 188-192.
Chou, S. Y., Lin, S. W., and Li, C. C. (2008). Dynamic parking negotiation and guidance using an agent-based platform. Expert Systems with Applications, 35(3), 805-817
Basavaraju S R. (2015) .Automatic Smart parking System using Internet of Things (IOT).International Journal of Scientific and Research Publications, Volume 5, Issue 12, December 2015.
Suryady, Z., Sinniah, G. R., Haseeb, S., Siddique, M. T., and Ezani, M. F. M. (2014, November). Rapid development of smart parking system with cloudbased platforms. In Information and Communication Technology for The Muslim World (ICT4M), 2014 The 5th International Conference on (pp. 1-6). IEEE
Gandhi, B. M. K., and Rao, M. K. (2016). A Prototype for IoT based Car Parking Management system for Smart cities. Indian Journal of Science and Technology, 9(17)
Downloads
Published
Issue
Section
License
Copyright (c) 2024 IJSRCE
This work is licensed under a Creative Commons Attribution 4.0 International License.
https://creativecommons.org/licenses/by/4.0
