Skip to main content

Advertisement

SpringerLink
Log in

Fuzzy priority based intelligent traffic congestion control and emergency vehicle management using congestion-aware routing algorithm

  • Original Research
  • Published:
Journal of Ambient Intelligence and Humanized Computing Aims and scope Submit manuscript

Abstract

The rapid increase in vehicle population has led to an increase in road congestion, pollution and accidents. We propose a framework that optimizes collection, classification, scheduling and dissemination of traffic information to deliver adaptive traffic signal management and emergency vehicle management in vehicular ad-hoc networks. The former allows dynamic traffic signal control and traffic flow while the later allows emergency vehicles to pass at their maximum speed. In the proposed scheme, sensor nodes monitor traffic information and transmit it to a Dynamic Traffic Management Center (DTMC). It dynamically determines priority of the road segment as critical, high, medium and low using fuzzy logic. Packets are transmitted to DTMC using congestion-aware routing algorithm. The results are simulated in Network Simulator Version 2 and demonstrate that the proposed approach clears emergency vehicles through the intersection with minimum waiting time and optimizes average waiting time and number of vehicles passing through a junction.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13
Fig. 14
Fig. 15
Fig. 16
Fig. 17
Fig. 18

Similar content being viewed by others

References

  • Abishek C, Kumar M, Kumar P (2009) City traffic congestion control in Indian scenario using wireless sensors network. In: Proceedings of the fifth international conference on wireless communication and sensor networks (WCSN), Allahabad, India, Dec 15–19, pp 1–6

  • Akyildiz IF, Vuran MC (2010) Wireless sensor networks. Wiley, New York

    Book  Google Scholar 

  • Al-Dweik A, Muresan R, Mayhew M, Lieberman M (2017) IoT-based multifunctional scalable real-time enhanced road side unit for intelligent transportation systems. In: Proceedings of the IEEE 30th Canadian conference on electrical and computer engineering (CCECE), Windsor, ON, Canada, pp 1–6

  • Bai Y, Wang D (2006) Fundamentals of fuzzy logic control—fuzzy sets, fuzzy rules and defuzzifications. Advanced fuzzy logic technologies in industrial applications. Springer, London, pp 17–36

    Chapter  Google Scholar 

  • Bansal N, Patel S, Panchal S (2010) Traffic congestion and fuel wastage due to idling vehicles at crossroads. Natl J Community Med 1(1)

  • Bello JP, Mydlarz C, Salamon J (2018) Sound analysis in smart cities. Computational analysis of sound scenes and events. Springer, Cham, pp 373–397

    Chapter  Google Scholar 

  • Bhardwaj M, Garnett T, Chandrakasan AP (2001) Upper bounds on the lifetime of sensor networks. In: Proceedings of the IEEE international conference on communications, conference record (Cat. no. 01CH37240), Helsinki, Finland, June 11–14, pp 785–790

  • Chen W, Chen L, Chen Z, Tu S (2006) Wits: a wireless sensor network for intelligent transportation system. In: First international multi-symposiums on computer and computational sciences (IMSCCS'06), Hanzhou, Zhejiang, China, June 20–24, pp 635–641

  • Collotta M, Bello LL, Pau G (2015) A novel approach for dynamic traffic lights management based on wireless sensor networks and multiple fuzzy logic controllers. Expert Syst Appl 42(13):5403–5415

    Article  Google Scholar 

  • Cruz-Piris L, Rivera D, Fernandez S, Marsa-Maestre I (2018) Optimized sensor network and multi-agent decision support for smart traffic light management. Sensors 18(2):435

    Article  Google Scholar 

  • Dash DK (2017) Traffic congestion on Delhi roads costs Rs 60 cr annually. https://timesofindia.indiatimes.com/city/delhi/traffic-chaos-costs-rs-60000cr-annually/articleshow/56977849.cms. Accessed 16 June 2018

  • Eu ZA, Tan HP, Seah WK (2010) Opportunistic routing in wireless sensor networks powered by ambient energy harvesting. Comput Netw 54(17):2943–2966

    Article  Google Scholar 

  • Fazenda B, Atmoko H, Gu F, Guan L, Ball A (2009) Acoustic based safety emergency vehicle detection for intelligent transport systems. In: ICCAS-SICE, Fukuoka, Japan, August 18–21, pp 4250–4255

  • Fraden J (2010) Acoustic sensors. In: Handbook of modern sensors. Springer, New York, NY, pp 431–443

    Chapter  Google Scholar 

  • Guerrero-Ibáñez J, Zeadally S, Contreras-Castillo J (2018) Sensor technologies for intelligent transportation systems. Sensors 18(4):1212

    Article  Google Scholar 

  • Heredia XC, Barriga CH, Piedra DI, Oleas GD, Flor AC (2019) Monitoring system for intelligent transportation system based in ZigBee. In: Proceedings of the 2019 UNSA international symposium on communications (UNSA ISCOMM), pp 1–6

  • Hussian R, Sharma S, Sharma V, Sharma S (2013) WSN applications: automated intelligent traffic control system using sensors. Int J Soft Comput Eng 3(3):77–81

    Google Scholar 

  • Javed MA, Zeadally S, Hamida EB (2019) Data analytics for cooperative intelligent transport. Syst Veh Commun 15:63–72

    Google Scholar 

  • Luo J, Hu J, Wu D, Li R (2014) Opportunistic routing algorithm for relay node selection in wireless sensor networks. IEEE Trans Ind Inf 11(1):112–121

    Article  Google Scholar 

  • Mao X, Tang S, Xu X, Li XY, Ma H (2011) Energy-efficient opportunistic routing in wireless sensor networks. IEEE Trans Parallel Distrib Syst 22(11):1934–1942

    Article  Google Scholar 

  • Markevicius V, Navikas D, Zilys M, Andriukaitis D, Valinevicius A, Cepenas M (2016) Dynamic vehicle detection via the use of magnetic field sensors. Sensors 16(1):78

    Article  Google Scholar 

  • Min R, Bhardwaj M, Ickes N, Wang A, Chandrakasan A (2002) The hardware and the network: total-system strategies for power aware wireless microsensors. In: Proceedings of the IEEE CAS workshop on wireless communications and networking, Pasadena, CA, USA. https://pdfs.semanticscholar.org/c666/909783196e971ff81e43d68a17d8bd32feea.pdf. Accessed 15 Apr 2018

  • Nellore K, Hancke G (2016) Traffic management for emergency vehicle priority based on visual sensing. Sensors 16(11):1892

    Article  Google Scholar 

  • Ning Z, Huang J, Wang X (2019) Vehicular fog computing: enabling real-time traffic management for smart cities. IEEE Wirel Commun 26(1):87–93

    Article  Google Scholar 

  • Pappis CP, Mamdani EH (1977) A fuzzy logic controller for a trafc junction. IEEE Trans Syst Man Cybern 7(10):707–717

    Article  Google Scholar 

  • Saldanha A, Janwalkar M, Sood M (2014) Chaos rules the city roads. The Indian Express, 28 May. http://indianexpress.com/article/cities/mumbai/chaos-rules-the-city-roads/. Accessed 6 Apr 2018

  • Sharif A, Li JP, Sharif MI (2018) Internet of things network cognition and traffic management system. Clust Comput. https://doi.org/10.1007/s10586-018-1722-1

    Article  Google Scholar 

  • Shelke M, Tefera G, Malhotra A, Mahalle P (2016) Fuzzy-based fault-tolerant low-energy adaptive clustering hierarchy routing protocol for wireless sensor network. Int J Wirel Mob Comput 11(2):117–123

    Article  Google Scholar 

  • Shelke M, Malhotra A, Mahalle PN (2018a) Congestion-aware opportunistic routing protocol in wireless sensor networks. Smart computing and informatics. Springer, Singapore, pp 63–72

    Chapter  Google Scholar 

  • Shelke MP, Malhotra A, Mahalle P (2018b) Fuzzy-based dynamic packet priority determination and queue management method for wireless sensor network. Int J Internet Technol Secur Trans 8(3):433–452

    Article  Google Scholar 

  • Sivanandam R, Lelitha Devi V, Ravi V, Krishna Kumar S (2014) Advanced traveller information system (ATIS) for Indian cities. In: National conference on urban mobility-challenges, solutions and prospects, IIT Madras, India. https://coeut.iitm.ac.in/umcsp/pdfweb/v2iitm_ATIS%20For%20indian%20cities_v2.pdf. Accessed 21 Jan 2019

  • Skordylis A, Trigoni N (2011) Efficient data propagation in traffic-monitoring vehicular networks. IEEE Trans Intell Transp Syst 12(3):680–694

    Article  Google Scholar 

  • Sumathi K, Venkatesan M (2016) A survey on congestion control in wireless sensor networks. Int J Comput Appl 147(6):6–11

    Google Scholar 

  • Sundar R, Hebbar S, Golla V (2014) Implementing intelligent traffic control system for congestion control, ambulance clearance, and stolen vehicle detection. IEEE Sens J 15(2):1109–1113

    Article  Google Scholar 

  • The Road Transport Year Book 2011–12 (2013) Transport research wing, Govt. of India. http://morth.nic.in/sites/default/files/other_files/Road_Transport_Year_Book_2011_12.pdf. Accessed 7 Dec 2018

  • Tiwari S, Pandey P (2015) Devotee run over, two kids injured in Gurgaon. The Indian Express, 11 August. http://indianexpress.com/article/cities/delhi/devotee-run-over-two-kids-injured-in-gurgaon. Accessed 6 Apr 2018

  • Tiwari KP, Singh RN, Balwanshi JB (2013) Fuel wastage and emission due to idling of vehicles at road traffic signals. Int J Res Eng Technol 2(10):43–53

    Article  Google Scholar 

  • Vandaele N, Van Woensel T, Verbruggen A (2000) A queueing based traffic flow model. Transport Res Part D Transport Environ 5(2):121–135

    Article  Google Scholar 

  • Varaiya P (1993) Smart cars on smart roads: problems of control. IEEE Trans Autom Control 38(2):195–207

    Article  MathSciNet  Google Scholar 

  • Wang Q, Zheng J, Xu H, Xu B, Chen R (2017) Roadside magnetic sensor system for vehicle detection in urban environments. IEEE Trans Intell Transp Syst 19(5):1365–1374

    Article  Google Scholar 

  • Yaqoob S, Ullah A, Akbar M, Imran M, Shoaib M (2019) Congestion avoidance through fog computing in internet of vehicles. J Ambient Intell Humaniz Comput. https://doi.org/10.1007/s12652-019-01253-x

    Article  Google Scholar 

  • Yau KLA, Chieng D, Qadir J, Ni Q (2019) Towards enhancement of communication systems, networks and applications for smart environment. J Ambient Intell Humaniz Comput 10:1271. https://doi.org/10.1007/s12652-018-1060-4

    Article  Google Scholar 

  • Zhao J, Cao G (2008) VADD: vehicle-assisted data delivery in vehicular ad hoc networks. IEEE Trans Veh Technol 57(3):1910–1922

    Article  Google Scholar 

  • Zibakalam V, HosseinKahaei M (2012) Increasing throughput and reducing delay in wireless sensor networks using interference alignment. Int J Commun Netw Syst Sci 5(02):90

    Google Scholar 

  • Zorzi M, Rao RR (2003) Geographic random forwarding (GeRaF) for ad hoc and sensor networks: energy and latency performance. IEEE Trans Mob Comput 2(4):349–365

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Symbiosis International (Deemed University), Pune, India

    Maya Shelke

  2. University of Petroleum and Energy Studies, Dehradun, India

    Akshay Malhotra

  3. Smt. Kashibai Navale College of Engineering Affiliated to Savitribai Phule Pune University, Pune, India

    Parikshit N. Mahalle

Authors
  1. Maya Shelke
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Akshay Malhotra
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Parikshit N. Mahalle
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Maya Shelke.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Shelke, M., Malhotra, A. & Mahalle, P.N. Fuzzy priority based intelligent traffic congestion control and emergency vehicle management using congestion-aware routing algorithm. J Ambient Intell Human Comput (2019). https://doi.org/10.1007/s12652-019-01523-8

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s12652-019-01523-8

Keywords

Search

Navigation