Abstract
The concept of smart city helps to improve the quality of urban life of the citizens while keeping in mind the environmental impacts. Smart and sustainable transportation system is one of the major contributors in order to make the city smart. Major cities around the world face enormous vehicular growth due to socioeconomic growth and rural to urban migration of the people. These results in high traffic congestion on road, road accidents, delay and have an adverse environmental impact, thus effecting smooth mobility of the citizens. Hence, traffic management authorities face difficulties to manage and reduce traffic congestion, road accidents and air pollution. In order to overcome the above-mentioned challenges, this paper proposes a framework for managing road traffic congestion in intelligent traffic management system which utilizes the available infrastructures and resources in an optimum way. The proposed framework comprises of four different modules, namely data collection module, data storage module, data processing module and business application module.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Petrolo R, Loscr V, Mitton N (2014) Towards a smart city based on cloud of things. In: Proceedings of the 2014 ACM international workshop on Wireless and mobile technologies for smart cities—WiMobCity 14. ACM Press, New York, USA, pp 61–66. https://doi.org/10.1145/2633661.2633667
Gaur A, Scotney B, Parr G, McClean S (2015) Smart city architecture and its applications based on IoT. In: The 5th International symposium on internet of ubiquitous and pervasive things, vol 52. Elsevier, pp 1089–1094. https://doi.org/10.1016/j.procs.2015.05.122
Rehena Z, Janseen M (2018) Towards a framework for context-aware intelligent traffic management system in smart cities. In: AW4City 2018 enhancing citizen centricity with web applications. ACM, France, pp 893-898. https://doi.org/10.1145/3184558.3191514
Rawal T, Devadas V (2015) Intelligent transportation system in India—A review. J Dev Manage Commun II(3)
Shah N, Kumar S, Bastani F, Yen I-L (2012) Optimization models for assessing the peak capacity utilization of intelligent transportation systems. Eur J Oper Res 239–251. https://doi.org/10.1016/j.ejor.2011.07.032 (Elsevier)
Atzori L, Iera A, Morabito G (2010) The Internet of Things: a survey. Comput Netw 2787–2805. https://doi.org/10.1016/j.comnet.2010.05.010 (Elsevier)
Djahel S, Doolan R, Muntean G-M, Murphy J (2015) A communications oriented perspective on trafic management systems for smart cities: challenges and innovative approaches. In: IEEE communication surveys and tutorials, vol 17, no 1, First quarter. https://doi.org/10.1109/COMST.2014.2339817
Cheng T, Wen P, Li Y (2016) Research status of artificial neural network and its application assumption in aviation. In: IEEE 12th international conference on computational intelligence and security
Na S, Xumin L, Yong G (2010) Research on K-means clustering algorithm. In: IEEE 3rd international symposium on intelligent information technology and security informatics
Pham TN, Tsai M-F, Nguyen DB, Dow C-R, Deng D-J (2015) A cloud-based smart-parking system based on Internet-of-Things technologies. In: Special section on emerging cloud-based wireless communications and networks, vol 3. IEEE Open Access, pp 1581–1591. https://doi.org/10.1109/ACCESS.2015.2477299
Ji Z, Gonchev I, O’Droma M, Zhao L, Zhang X (2014) A cloud-based car parking middleware for IoT-based smart cities: design and implementation. Sensors 22372–22393. https://doi.org/10.3390/s141222372
Kianpisheh A, Mustaffa N, Limtrairut P, Keikhosrokiani P (2012) Smart Parking System (SPS) architecture using ultrasonic detector. Int J Softw Eng Its Appl 6(3)
Geng Y, Cassandras CG (2011) A new smart parking system based on optimal resource allocation and reservations. In: 14th International IEEE conference on intelligent transportation systems, Washington DC, USA. https://doi.org/10.1109/ITSC.2011.6082832
Thianniwet T, Phosaard S, P-Atikom W (2009) Classification of road traffic congestion levels from GPS data using a decision tree algorithm and sliding windows. In: Proceedings of the world congress on engineering. Springer. UK. https://doi.org/10.1007/978-90-481-8776-8_23
Lopes J, Bento J, Huang E, Autonious C, Ben-Akiva M (2010) Traffic and mobility data collection for real-time applications. In: 13th International IEEE annual conference on intelligent transportation systems, Madeira Island, Portugal
Sumalee A, Ho HW (2018) Smarter and more connected: future intelligent transportation system. In: IATSS Res 67–71. https://doi.org/10.1016/j.iatssr.2018.05.005 (ScienceDirect)
Chatzimilioudis G, Konstantinidis A, Laoudias C, Zeinalipour-Yazti D (2012) Crowdsourcing with smartphones. IEEE Internet Comput 16(5):3644. https://doi.org/10.1109/MIC.2012.70
Rehena Z, Mondal MA, Janssen M (2018) A multiple-criteria algorithm for smart parking: making fair and preferred parking reservations in smart cities. In: Proceedings of the 19th annual international conference on digital government research: governance in the data age, DG.0 2018, Delft, The Netherlands, pp 40:1–40:9. https://doi.org/10.1145/3209281.3209318
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Mondal, M.A., Rehena, Z. (2021). An IoT-Based Congestion Control Framework for Intelligent Traffic Management System. In: Chiplunkar, N.N., Fukao, T. (eds) Advances in Artificial Intelligence and Data Engineering. AIDE 2019. Advances in Intelligent Systems and Computing, vol 1133. Springer, Singapore. https://doi.org/10.1007/978-981-15-3514-7_96
Download citation
DOI: https://doi.org/10.1007/978-981-15-3514-7_96
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-15-3513-0
Online ISBN: 978-981-15-3514-7
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)