Abstract
The work portrays a summary of traffic congestion which has been a persistent problem in many cities in India. The major problems that lead to traffic congestion in India are primarily associated with one or combination of the factors such as signal failures, inadequate law enforcement and relatively poor traffic management practices. The traffic congestion shall be treated as a grave issue as it significantly reduces the freight vehicles speed, increases wait time at the checkpoints and toll plazas, uncountable loss of productive man-hours spending unnecessary journey time, physical and mental fatigue of humans. In addition, the cars that are waiting in traffic jams contribute to 40% increased pollution than those which are normally moving on the roads by way of increased fuel wastage and therefore causing excessive carbon dioxide emissions which would result in frequent repairs and replacements. To avoid such unwarranted and multi-dimensional losses to mankind, we developed a technological solution and our experiments on real-time data show that proposed approach is able to reduce the waiting time and travelling time for the users.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Ninad, L., Sheetal, K.: Smart traffic management. Int. J. Comput. Appl. 75, 19–22 (2013)
D. Garg, M. Chli, G. Vogiatzis, Deep reinforcement learning for autonomous traffic light control. In 3rd IEEE International Conference on Intelligent Transportation Engineering (ICITE), (IEEE, 2018), pp. 214–218
M. Attila, V. Simon, Novel congestion propagation modeling algorithm for Smart Management System. Pervasive Mobile Comput. 73 (2021)
Ata, A., Khan, M.A., Abbas, S., Ahmad, G., Fatima, A.: Modelling smart road traffic congestion control system using machine learning techniques. Neural Network World 29(2), 99–110 (2019)
A. Basavaraju, S. Doddigarla, N. Naidu, S. Malgatti, Vehicle density sensor system to manage traffic. Int. J. Res. Eng. Technol. 2319–1163 (2014)
S. Jacob, A. Rekh, G. Manoj, J. Paul, Smart traffic management system with real time analysis. Int. J. Eng. Technol. (UAE), 7, 348–351
A.S. Baker et al., “smart traffic monitoring system”, https://www.slideshare.net/alivxlvie/smart-traffic-monitoring-system-report
A. Saikar, M. Parulekar, A. Badve, S. Thakkar, A. Deshmukh, TrafficIntel: smart traffic management for smart cities. In International Conference on Emerging Trends and Innovation in ICT, IEEE (2017), pp. 46–50
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Teja, M.N.V.M.S., Sree, N.L., Harshitha, L., Bhargav, P.V., Bhaskar, N., Reddy, V.D. (2022). A Dynamic Model and Algorithm for Real-Time Traffic Management. In: Bhateja, V., Satapathy, S.C., Travieso-Gonzalez, C.M., Adilakshmi, T. (eds) Smart Intelligent Computing and Applications, Volume 1. Smart Innovation, Systems and Technologies, vol 282. Springer, Singapore. https://doi.org/10.1007/978-981-16-9669-5_55
Download citation
DOI: https://doi.org/10.1007/978-981-16-9669-5_55
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-16-9668-8
Online ISBN: 978-981-16-9669-5
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)