Abstract
In the recent past, the term traffic congestion has emerged as one of the most brutal challenges to face for the engineers, governments, planners and policy makers in almost every country. With ongoing advancements in social and economic structures, fabricated by vehicles-oriented urban development, they have established congestion as an inevitable reality of urban life. Predominantly there are various factors which play a humongous role towards aggravating this problem some of them are listed as: (Speed, Travel time, Delay, Volume) etc. Subsequently, every research demands exhaustive data collection and based upon that, reaching upon suitable methods to overcome the widely spread problem. Speed has emerged as the most important traffic measurement to identify congestion. This phenomenon has been widely classified into two types (i) Recurring and (ii) Nonrecurring. According to the United States Department of Transportation Federal Highway Administration-alone, nonrecurring congestion is responsible for more than 50% of the total traffic congestion, whereas, recurring congestion contributes for about 40%. Extensive collection of data is aimed to be done at several locations in order to measure the maximum number of traffic characteristics. The main emphasis of this paper is aimed towards understanding the techniques used in recurring urban congestion, its types and methods to curtail it with least available manpower. Literature reviews regarding this problem reveals some interesting insights.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Gupta R, Pal SK, Muttoo SK (2016) Network monitoring and internet traffic surveillance system: issues and challenges in India. In: Advances in intelligent systems and computing, vol 385. https://doi.org/10.1007/978-3-319-23258-4_6
Shwetank, Badwaik SC (2020) Design of Indian navigation satellite system-based traffic management for entire city. In: Lecture notes in mechanical engineering. Springer, Singapore. https://doi.org/10.1007/978-981-15-1724-2_44
Bertini RL, El-Geneidy A (2004) Advanced traffic management system data. In: Transportation research, economics and policy, vol 10. https://doi.org/10.1007/1-4020-7874-9_15
Allström A, Barceló J, Ekström J, Grumert E, Gundlegård D, Rydergren C (2017) Traffic management for smart cities. In: Designing, developing, and facilitating smart cities. https://doi.org/10.1007/978-3-319-44924-1_11
Aycard O, Baig Q, Bota S, Nashashibi F, Nedevschi S, et al (2011) Intersection safety using lidar and stereo vision sensors. In: IV’2011—IEEE intelligent vehicles symposium, Baden-Baden, Germany, June 2011, pp 863–869
Cafiso S, Di Graziano A, Pappalardo G (2017) In-vehicle stereo vision system for identification of traffic conflicts between bus and pedestrian. J. Traffic Transp Eng (Eng Ed) 4(1):3–13
Al-Sakran HO (2015) Intelligent traffic information system based on integration of Internet of Things and agent technology. Int J Adv Comput Sci Appl 6(2):37–43. https://doi.org/10.14569/IJACSA.2015.060206
Othman K (2021) Impact of autonomous vehicles on the physical infrastructure: changes and challenges. Special issue highway geometric design and safety. https://doi.org/10.3390/designs5030040
Jost D (2019) IR sensor. Fierce Electronics, 29 July 2019
Drafts B (2001) Acoustic wave technology sensors. IEEE Trans Microwave Theory Tech 49(4):795–802
Federal Highway Administration Research and Technology. US Department of Transportation, May 2006
Shi W, Kong, Q-J, Liu Y (2008) A unified system GPS/GIS integrated system for urban congestion motion analysis. In: Proceedings of the 11th international IEEE conference on intelligent transportation systems, Beijing, China, 12–15 October 2008
Mansur Z, Rahim IA, Zulfa’is Shah FSB (2020) Malaysia public bus monitoring real-time system. In: AIP 2020, vol 2291
Naik T, Roopalakshmi R, Ravi ND, Jain P, Sowmya BH, Manichandra (2018) RFID-based smart traffic control framework for emergency vehicles. In: 2018 2nd international conference on inventive communication and computational technologies. IEEE
Atta A, Abbas S, Adnan Khan M, Ahmed G, Farooq U (2020) A modified method: ingenious traffic congestion regulation. Framework 9, Science Direct, vol 32
Ikemoto Y, Suzuki S, Okamoto H, Murakami H et al (2009) Force sensor system for structural health monitoring using passive RFID tags. Sens Rev 29(2):127–136. https://doi.org/10.1108/02602280910936237
Sundar R, Hebbar S, Golla V (2015) Implementing intelligent traffic control system for congestion control, ambulance clearance, and stolen vehicle detection. IEEE Sens J 15(2):1109–1113. https://doi.org/10.1109/JSEN.2014.2360288
Pau G, Campisi T, Canale A et al (2018) Intelligent pedestrian crossing regulation at stop light intersection via fuzzy based approach. Future Internet 10(2):15. https://doi.org/10.3390/fi10020015
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 Switzerland AG
About this paper
Cite this paper
Berwal, P., Kaushik, G., Chandra, K., Upadhaya, K., Gupta, D., Goyal, R. (2022). An Overview of Technique Used in Traffic Monitoring System. In: Ashish, D.K., de Brito, J. (eds) Environmental Restoration. F-EIR 2021. Lecture Notes in Civil Engineering, vol 232. Springer, Cham. https://doi.org/10.1007/978-3-030-96202-9_10
Download citation
DOI: https://doi.org/10.1007/978-3-030-96202-9_10
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-96201-2
Online ISBN: 978-3-030-96202-9
eBook Packages: EngineeringEngineering (R0)