A survey on urban traffic management system using wireless sensor networks

Sensors (Switzerland)

Volumn 16, Issue 2, 2016, Pages

  Nellore, Kapileswar ^a   Hancke, Gerhard P ^a  

^a UNIVERSITY OF PRETORIA   (South Africa)

Author keywords

Average Waiting Time (AWT); Emergency vehicle priority; Intelligent traffic light controllers; Traffic congestion; Traffic parameters; Traffic sensing systems; Wireless sensor networks (WSNs)

Indexed keywords

EMERGENCY TRAFFIC CONTROL; EMERGENCY VEHICLES; HIGHWAY ADMINISTRATION; MOTOR TRANSPORTATION; ROADS AND STREETS; STREET TRAFFIC CONTROL; SURVEYS; TRAFFIC CONTROL; TRAFFIC SURVEYS; TRANSPORTATION; VEHICLES; VEHICULAR AD HOC NETWORKS; WIRELESS SENSOR NETWORKS; ZIGBEE;

AVERAGE WAITING-TIME; INTELLIGENT TRAFFICS; SENSING SYSTEMS; TRAFFIC PARAMETERS; WIRELESS SENSOR NETWORK (WSNS);

TRAFFIC CONGESTION;

EID: 84957020380     PISSN: 14248220     EISSN: None     Source Type: Journal    
DOI: 10.3390/s16020157     Document Type: Review

References (63)

1. Litman, T. Congestion Costing Critique Critical Evaluation of the Urban Mobility 2014 Report; Victoria Transport Policy Institute: Victoria, BC, Canada, 2014
2. Status of the Nation’s Highways, Bridges, and Transit: Conditions and Performance; US Federal Highway Administration Report. US Department of Transportation: Washington, DC, USA, 2013.
3. Padmavathi, G.; Shanmugapriya, D.; Kalaivani, M. A study on vehicle detection and tracking using wireless sensor networks. Wirel. Sens. Netw. 2010, 2, 173-185. [CrossRef]
4. Albaladejo, C.; Sánchez, P.; Iborra, A.; Soto, F.; López, J.A.; Torres, R. Wireless Sensor Networks for Oceanographic Monitoring: A Systematic Review. Sens. 2010, 10, 6948-6968. [CrossRef] [PubMed]
5. Hong Kong Government. Intelligent Transport System (ITS). Available online: http://www.roadtraffic-technology.com/projects/hong-kong/ (accessed on 14 April 2015).
6. Sridhar, N. A Distributed Instrument for Measuring Traffic in Short-Term Work Zones. Available online: http://ntlsearch.bts.gov/researchhub/search.do?managed=&stgrpid=&range=&so=asc&q=traffic+management+projects&p=15&sb=ti_sort&manageableMode=&psize=50&pid=&mode=&size=1(accessed on 14 April 2015).
7. Al-Holous, N.; Syed Masud, M.; Mohammad, U. A Multi-Dimensional Model for Vehicle Impact on Traffic Safety, Congestion, and Environment. Available online: http://mioh-utc.udmercy.edu/research/ts-45/index.htm (accessed on 14 April 2015).
8. Dutch Traffic and Transport Laboratory. Fast Lane: Modelling and Simulation of Traffic Flow. Available online: http://www.its-edulab.nl/projects/fastlane%3A-modelling-and-simulation-traffic-flow (accessed on 14 April 2015).
9. Alfelor, R. Advanced Weather Responsive Traffic Management Strategies. Available online: http://ntlsearch.bts.gov/researchhub/search.do?managed=&stgrpid=&range=&so=asc&q=traffic+management+projects&p= 158&sb=ti_sort&manageableMode=&psize=50&pid=&mode=&size=1 (accessed on 14 April 2015).
10. Ban, X.J.; Wang, C.; Kanga, C. Adaptive Traffic Signal Control System (ACS Lite) for Wolf Road, Albany, New York State Department of Transportation (NYSDOT), University Transportation Research Center, Region 2 (UTRC2). Available online: http://ntlsearch.bts.gov/researchhub/search.do?managed=&stgrpid=&range=&so=asc&q=traffic+monitoring&p=68&sb=ti_sort&manageableMode=&psize=50&pid= &mode&size=1 (accessed on 14 April 2015).
11. Sivanandam, R.; Lelitha Devi, V.; Ravi, V.; Krishna Kumar, S. Advanced Traveller Information System (ATIS) for Indian Cities. Available online: https://coeut.iitm.ac.in/umcsp/pdfweb/v2iitm_ATIS%20For%20indian%20cities_v2.pdf (accessed on 14 April 2015).
12. Benekohal, R.F. Agent-Based Traffic Management and Reinforcement Learning in Congested Intersections. Available online: http://ntlsearch.bts.gov/researchhub/search.do?managed=&stgrpid=&range=&so=asc&q=traffic+monitoring&p=107&sb=ti_sort&manageableMode=&psize=50&pid=&mode=&size=1 (accessed on 14 April 2015).
13. Christopher, D. A Proof-of-Concept and Demonstration of a High Definition, Digital Video Surveillance andWireless Transmission System for Traffic Monitoring and Analysis. Available online: http://ntlsearch.bts.gov/researchhub/search.do?managed=&stgrpid=&range=&so=asc&q=traffic+management+projects &p=52&sb=ti_sort&manageableMode=&psize=50&pid=&mode=&size=1 (accessed on 14 April 2015).
14. Arbabi, H., Weigle, C.M. Using DTMon to monitor transient flow traffic. In Proceedings of the IEEE Vehicular Networking Conference (VNC), Jersey City, NJ, USA, 13-15 December 2010; pp. 110-117.
15. Arbabi, H., Weigle, C.M. Monitoring free flow traffic using vehicular networks. In Proceedings of the IEEE Consumer Communications and Networking Conference (CCNC), Las Vegas, NV, USA, 9-12 January 2011; pp. 272-276.
16. Mazloumi, E.; Asce, M.S.; Currie, G.; Rose, G. Using GPS data to gain insight into public transport travel time variability. J. Transp. Eng. 2010, 136, 623-631. [CrossRef]
17. Bazzi, A.; Masini, M.B.; Zanella, A.; Pasoloni, G. Vehicle-to-vehicle and vehicle-to-roadside multi-hope communications for vehicular sensor networks: Simulations and field trial. In Proceedings of the IEEE International Conference on Communication workshops (ICC), Budapest, Hungary, 9-13 June 2013; pp. 515-520.
18. Alexander, P.; Haley, D.; Grant, A. Co-operative intelligent transport system: 5.9-GHz field trials. IEEE Proc. 2001, 99, 1213-1235.
19. Bruno, R.; Nurchis, M. Robust and efficient data collection schemes for vehicular multimedia sensor networks. In Proceedings of the IEEE 14th International Symposium and Workshops on World of Wireless, Mobile and Multimedia Networks (WoWMoM), Madrid, Spain, 4-7 June 2013; pp. 1-10.
20. Chao, K.H.; Chen, P. An intelligent traffic flow control system based on radio frequency identification and wireless sensor networks. Int. J. Distrib. Sens. Netw. 2014, 2014, 1-10.
21. Saqib, M., Lee, C. Traffic control system using wireless sensor network. In Proceedings of the 12th IEEE International Conference on Advanced Communication Technology (ICACT), Phoenix Park, Korea, 7-10 February 2010; pp. 352-357.
22. Cabezas, C.A.; Medina, G.R.; Pea, T.M.N.; Labrador, A.M. Low energy and low latency in wireless sensor networks. In Proceedings of the IEEE International Conference on Communications (ICC-09), Dresden, Germany, 14-18 June 2009; pp. 1-5.
23. Choi, O., Kim, S., Jeong, J., Lee, W.H., Chong, S. Delay-optimal data forwarding in vehicular sensor networks. In Proceedings of the IEEE 11th International Symposium on Modeling and Optimization in Mobile, Ad Hoc and Wireless Networks (WiOpt), Tsukuba Science City, Japan, 13-17 May 2013; pp. 532-539.
24. Lee, U.; Magistretti, E.; Gerla, M.; Bellavista, P.; Corradi, A. Dissemination and harvesting of urban data using vehicular sensing platforms. IEEE Trans. Veh. Technol. 2009, 58, 882-901.
25. Friesen, M.; Jacob, R.; Grestoni, P.; Mailey, T.; Friesen, R.M.; McLeod, D.R. Vehicular traffic monitoring using Bluetooth scanning over a wireless sensor networks. Can. J. Electr. Comput. Eng. 2014, 37, 135-144. [CrossRef]
26. Liu, Y.; Li, S. A vehicle-logo location approach based on edge detection and projection. In Proceedings of the IEEE International Conference on Vehicular Electronics and Safety (ICVES), Beijing, China, 10-12 July 2011; pp. 165-168.
27. Zhou, J.; Member, S.; Chen, C.; Chen, L.; Zhao, W. A user-customizable urban traffic information collection method based on wireless sensor networks. IEEE Trans. Intell. Transp. Syst. 2013, 14, 1-10. [CrossRef]
28. Ahmad, F.; Basit, A.; Ahmad, H.; Mahmud, A.S.; Khan, M.G.; Yousaf, Z.F. Feasibility of deploying wireless sensor based roadside solutions for intelligent transportation systems. In Proceedings of the IEEE International Conference on Connected Vehicles and Expo (ICCVE), Las Vegas, NV, USA, 2-6 December 2013; pp. 320-326.
29. Du, R.; Chen, C.; Yang, B.; Lu, N.; Guan, X.; Shen, X. Effective urban traffic monitoring by vehicular sensor networks. IEEE Trans. Veh. Technol. 2015, 64, 273-286. [CrossRef]
30. Knorr, F.; Baselt, D.; Schreckenberg, M.; Mauve, M. Reducing traffic jams via VANETs. IEEE Trans. Veh. Technol. 2012, 61, 3490-3498. [CrossRef]
31. Wang, Y., Wu, F.; Tseng, Y. Mobility management algorithms and applications for mobile sensor networks. Wirel. Commun. Mobile Comput. 2012, 12, 7-21. [CrossRef]
32. Dragoi, V., Dobre, C. A model for traffic control in urban environments. In Proceedings of the 7th IEEE International Wireless Communications and Mobile Computing Conference (IWCMC), Istanbul, Turkey, 4-8 July 2011; pp. 2139-2144.
33. Ahmad, F.; Khan, I.; Mahmud, A.S.; Khan, M.G.; Yousaf, Z.F. Real time evaluation of shortest remaining processing time based schedulers for traffic congestion control using wireless sensor networks. In Proceedings of the IEEE International Conference on Connected Vehicles and Expo (ICCVE), Las Vegas, NV, USA, 2-6 December 2013; pp. 381-387.
34. Skordylis, A.; Trigoni, N. Efficient data propagation in traffic-monitoring vehicular networks. IEEE Trans. Intell. Transp. Syst. 2011, 12, 680-694. [CrossRef]
35. Abishek, C.; Kumar, M.; Kumar, P. City traffic congestion control in India scenario using wireless sensor network. In Proceedings of the Fifth IEEE Conference onWireless Communication and Sensor Networks (WCSN), Allahabad, India, 15-19 December 2009; pp. 1-6.
36. Eren, H.; Pakka, M.H.; AlGhamdi, S.A.; Yue, Y. Instrumentation for safe vehicular flow in intelligent traffic control systems using wireless networks. In Proceedings of the IEEE International conference on Instrumentation and Measurement Technology (I2MTC), Minneapolis, MN, USA, 6-9 May 2013; pp. 1301-1305.
37. Xiao, L.; Peng, X.; Wang, Z.; Xu, B.; Hong, B. Research on traffic monitoring network and its traffic flow forecast and congestion control model based on wireless sensor networks. In Proceedings of the IEEE International conference on Measuring Technology and Mechatronics Automation (ICMTMA), Zhangjiajie, China, 11-12 April 2009; pp. 142-147.
38. Rajeshwari, S.; Santhoshs, H.; Varaprasad, G. Implementing intelligent traffic control system for congestion control, ambulance clearance and stolen vehicle detection. IEEE Sens. J. 2015, 15, 1109-1113.
39. Sireesha, E.; Rakesh, D. Intelligent traffic light system to prioritized emergency purpose vehicles based on wireless sensor network. Int. J. Res. Stud. Sci. Eng. Technol. 2014, 1, 24-27.
40. Shruthi, R.K.; Vinodha, K. Priority based traffic light controller. Int. J. Electron. Signal Syst. 2014, 1, 58-61.
41. Hussian, R.; Sandhy, S.; Vinita, S.; Sandhya, S. WSN applications: Automated intelligent traffic control system using sensors. Int. J. Soft Comput. Eng. 2013, 3, 77-81.
42. Nabeel, M.M.; EI-Dien, F.M.; EI-Kader, A.S. Intelligent vehicle recognition based on wireless sensor network. Int. J. Comput. Sci. Issues 2013, 10, 164-174.
43. Chakraborty, S.P.; Nair, P.; RajSinha, P.; Ishan Kumar, B. Real time optimized traffic management algorithm. Int. J. Comput. Sci. Inf. Technol. 2014, 6, 119-136. [CrossRef]
44. Farheena, S.; Chandak, B.M. An approach towards traffic management system using density calculation and emergency vehicle alert. In Proceedings of the International Conference on Advances in Engineering and Technology (ICAET-2014), Singapore, 29-30 March 2014; pp. 24-27.
45. Zhou, J.; Li, C.; Zhang, Z. Intelligent transportation system based on SIP/ZigBee architecture. In Proceedings of the IEEE International Conference on Image Analysis and Signal Processing (IASP), Wuhan, China, 21-23 October 2011; pp. 405-409.
46. Tao, H.; Liu, W.; Ma, S. Intelligent transportation system for wireless sensor networks based on ZigBee. In Proceedings of the International Conference on Computer and Communication Technologies in Agriculture Engineering, Changdu, China, 12-13 June 2010; pp. 396-399.
47. Bottero, M.; Chiara, D.B.; Deflorio, P.F.Wireless sensor networks for traffic monitoring in a logistic center. Transp. Res. Part C 2013, 26, 99-124. [CrossRef]
48. Brahmi, H.; Djahel, S.; Murphy, J. Improving emergency messages transmission delay in road monitoring based WSNs. In Proceedings of the IEEE 6th Joint IFIP Conference on Wireless and Mobile Networks (WMNC), Dubai, United Arab Emirates, 23-25 April 2013; pp. 1-8.
49. Fan, K.; Chen, J.; Cao, Q. Design and research on traffic of wireless sensor network based on LabVIEW. In Proceedings of the 2nd International Symposium on Computer, Communication, Control and Automation (3CA 2013), Singapore, 1-2 December 2013; pp. 6-9.
50. Srivastava, J.R.; Sudarshan, T.S.B. Intelligent Traffic management with wireless sensor networks. In Proceedings of the IEEE ASC International Conference on Computer System and Applications (AICCSA), Fez/Ifrane, Morocco, 27-30 May 2013; pp. 1-4.
51. Zhou, B.; Cao, J.; Zeng, X., Wu, H. Adaptive traffic light control in wireless sensor networks-based intelligent transportation system. In Proceedings of the IEEE 72nd Vehicular Technology Conference (VTC 2010-Fall), Ottawa, ON, Canada, 6-9 September 2010; pp. 1-5.
52. Bhuvaneswari, V.T.P.; Arunraj, V.G.; Balaji, R.; Kanagasabai, S. Adaptive traffic signal flow control using wireless sensor networks. In Proceedings of the IEEE Fourth International Conference on Computational Intelligence and Communication Networks (CICN), Mathura, Uttar Pradesh, India, 3-5 November 2012; pp. 85-89.
53. Zhou, B.; Cao, J.; Wu, H. Adaptive traffic light control of multiple intersections in WSN-based ITS. In Proceedings of the IEEE 73rd Vehicular Technology Conference (VTC Spring), Yokohama, Japan, 15-18 May 2011; pp. 1-5.
54. Yousef, M.K.; Al-Karaki, N.J.; Shatnawi, M.A. Intelligent traffic light flow control system using wireless sensor networks. J. Inf. Sci. Eng. 2010, 26, 753-768.
55. Bharadwaj, R.; Deepak, J.; Baranitharam, M.; Vaidehi, V. Efficient dynamic traffic control system using wireless sensor networks. In Proceedings of the IEEE International Conference on Recent Trends in Information Technology (ICRTIT), Chrompet, Chennai, India, 25-27 July 2013; pp. 668-673.
56. Bhattacharya, R.; Floerkemeier, C.; Sarma, S. Towards tag antenna based sensing-an RFID displacement sensors. In Proceedings of the IEEE International Conference on RFID, Arlington, TX, USA, 27-28 April 2009; pp. 95-102.
57. Faye, S.; Chaudet, C.; Demeure, I. A distributed algorithm for multiple intersections adaptive traffic lights control using a wireless sensor networks. In Proceedings of the First Workshop on Urban Networking, Nice, France, 10-13 December 2012; pp. 13-18.
58. Al-Nasser, A.F.; Rowaihy, H. Simulation of dynamic traffic control system based on wireless sensor networks. In Proceedings of the IEEE Symposium on Computers and Informatics (ISCI), TBD, Kuala Lumpur, Malaysia, 20-23 March 2011; pp. 40-45.
59. Collotta, M.; Pau, G.; Scata, G.; Campisi, T. A dynamic traffic light management system based on wireless sensor networks for the reduction of the red-light running phenomenon. Transp. Telecommun. J. 2014, 15, 1-11. [CrossRef]
60. Olatunbosun, P. Wireless sensor networks for intelligent transport systems. In Proceedings of the 12th Research Seminar Series Workshop, Bradford, UK, 10 April 2013.
61. Collotta, M.; Bello, L.L.; Pau, G. A novel approach for dynamic traffic light management based on wireless sensor networks and multiple fuzzy logic controllers. Expert Syst. Appl. 2015, 42, 5403-5415. [CrossRef]
62. Wu, L.; Zhang, X.; Shi, Z. An intelligent fuzzy control for crossroads traffic light. In Proceedings of the Second WRI Global Congress on Intelligent Systems (GCIS),Wuhan, China, 16-17 December 2010; Volume 3, pp. 28-32.
63. Gomez, A.; Alencar, F.; Prado, P.; Osorio, F.; Wolf, D. Traffic lights detection and state estimation using hidden Markova models. In Proceedings of the IEEE Symposium on Intelligent Vehicles, Dearborn, MI, USA, 8-11 June 2014; pp. 750-755