access icon openaccess Mitigating gas emissions at signalised intersections using wireless vehicle detectors

Traffic congestion on roads wastes travel times and increases fuel consumption as well as gas emissions which are dangerous to human health. This has led to growing concern about environmental protection and energy conservation and a number of studies to increase fuel economy and reduce gas emissions. To increase travel times so as to reduce fuel consumption and gas emissions, traffic signals at intersections must be well implemented. It is therefore necessary to employ the current technology of wireless sensor networks to enhance the optimisation of the signalised intersections so as to address such a concern. In this study, a vehicular traffic control model was developed to optimise a signalised intersection, using wireless vehicle detectors. Real-time traffic volume gathered were analysed to obtain the peak hour traffic volume causing congestion. The intersection was modelled and simulated in Synchro7 as an actuated signalised model using results from the analysed data. The model for morning peak and evening peak periods gave optimal cycle lengths which result in the reduction of gas emissions, fuel consumption and delay at the intersection.

Inspec keywords: optimisation; road traffic control; wireless sensor networks; fuel economy; air pollution control; energy conservation; road vehicles

Other keywords: delay; vehicular traffic control model; Synchro7; fuel economy; traffic congestion; environmental protection; gas emission mitigation; fuel consumption reduction; wireless vehicle detector; wireless sensor network; signalized intersection optimisation; energy conservation

Subjects: Optimisation techniques; Optimisation techniques; Transportation; Environmental factors; Road-traffic system control; Pollution control

References

    1. 1)
    2. 2)
      • 11. Omar, I.B.: ‘Managing the Kuala Lumpur road network with the integrated transport information system’. PIARC Int. Seminar on Intelligent Transport System (ITS) in Road Network Operations, 16 August 2006, pp. 12.
    3. 3)
      • 8. Bin, L.: ‘Modeling of signal plans for transit signal priority at isolated intersections under stochastic condition’, 2012, 2012, pp. 23.
    4. 4)
      • 12. Macababbad, R.J.R.M., Regidor, J.R.F.: ‘ITS: traffic baseline information obtained using probe cars is the key to address metro manila traffic congestion’. Proc. 17th Annual Conf. of the Transportation Science Society of the Philippines, 2009, pp. 910.
    5. 5)
      • 1. Collins, K., Muntean, G.-M.: ‘Route-based vehicular traffic management for wireless access in vehicular environments’, 2008, p. 1.
    6. 6)
    7. 7)
      • 4. Martin, P.T., Feng, Y., Wang, X.: ‘Detector technology evaluation’, 2003.
    8. 8)
      • 3. Haoui, A., Kavaler, R., Varaiya, P.: ‘Wireless magnetic sensors for traffic surveillance’, October 2007, pp. 112.
    9. 9)
      • 18. Li, M., Boriboonsomsin, K., Wu, G., et al: ‘Energy and emission reductions at signalized intersections: a study of the benefits of advanced driver information’, Int. J. ITS Res., 2009, 7, (1), pp. 4954.
    10. 10)
      • 2. Zhang, Y., Huang, X., Cui1, L., et al: ‘Design and evaluation of a wireless sensor network for monitoring traffic’, 2009.
    11. 11)
      • 19. Chiou, Y.-C., Chiou, Y.-S., Hsieh, C.-W.: ‘An integrated emission and dispersion model under mixed traffic conditions’. Proc. of the Eastern Asia Society for Transportation Studies, 2013, vol. 9.
    12. 12)
      • 9. Awan, J.: ‘Artificial intelligence applications to critical transportation issues’, 2012, pp. 1920.
    13. 13)
    14. 14)
      • 13. Duvvuru, S.K.: ‘Design and deployment of vehicular traffic monitoring sensor networks’, 2008, p. 30.
    15. 15)
      • 20. Torkudzor, M.K., Adjin, D.M.O., Asare, J.: ‘Optimising signalised intersection using wireless vehicle detectors’. Ninth ITS Europeans Congress, June 2013.
    16. 16)
      • 10. Rad, A.G., Karim, M.R.: ‘A robust traffic quantity measurement with video surveillance’, 2011 Int. J. Phys. Sci., 2011, 6, (5), pp. 962970.
    17. 17)
      • 6. Chattaraj, A., Chakrabarti, S., Bansal, S., et al: ‘Intelligent traffic control system using RFID’. Proc. of the National Conf. on Device, Intelligent System and Communication & Networking, 2008, pp. 1213.
    18. 18)
      • 14. Denney, R.W.Jr.: ‘Traffic signals’ handbook of transportation engineering’, 2004, pp. 10.910.11.
    19. 19)
      • 15. Hush, D., Albert, J.: ‘Synchro studio 7 user guide’, June 2006, pp. 2728.
    20. 20)
      • 16. Liu, Y., Lee, K.: ‘Modeling signalized intersection using queuing theory’.
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