Your browser does not support JavaScript!
http://iet.metastore.ingenta.com
1887

Effect of vehicle composition on saturation flow at signalised intersections in mixed traffic conditions

Effect of vehicle composition on saturation flow at signalised intersections in mixed traffic conditions

For access to this article, please select a purchase option:

Buy article PDF
$19.95
(plus tax if applicable)
Buy Knowledge Pack
10 articles for $120.00
(plus taxes if applicable)

IET members benefit from discounts to all IET publications and free access to E&T Magazine. If you are an IET member, log in to your account and the discounts will automatically be applied.

Learn more about IET membership 

Recommend Title Publication to library

You must fill out fields marked with: *

Librarian details
Name:*
Email:*
Your details
Name:*
Email:*
Department:*
Why are you recommending this title?
Select reason:
 
 
 
 
 
IET Intelligent Transport Systems — Recommend this title to your library

Thank you

Your recommendation has been sent to your librarian.

Vehicular traffic in most of the developing countries is a mixed traffic flow condition with non-lane-based behaviour in urban roads. Vehicles with different static and dynamic characteristics share a common lane. Signalised intersections provide sequential movements of vehicular traffic from one leg to another leg. Saturation flow is an important parameter for the measurement of the level of service at signalised intersections. The various equations, developed for the estimation of saturation flow, for a mixed traffic flow condition do not consider the non-lane-based traffic conditions. There is a need to establish a model to estimate the saturation flow of a signalised intersection for a non-lane-based vehicular movement in mixed traffic flow conditions. This research work presents the findings of the analysis of saturation flow conducted at signalised intersections in three different cities, Warangal, Raipur, and Calicut, in India. Flow rate and traffic volume data are collected using a video graphic technique and the Transportation Research Record Laboratory direct vehicle count method is used to estimate saturation flow. The developed model shows good predictability in comparison with observed data and can be used to estimate saturation flow in non-lane-based traffic conditions.

References

    1. 1)
      • 5. Chand, S., Gupta, N.J., Kumar, N.: ‘Analysis of saturation flow at signalized intersections in urban area’. Transportation Planning and Implementation Methodologies for Developing Countries Conf., Indian Institute of Technology Bombay, Bombay, 2014.
    2. 2)
      • 10. Chodur, J., Olstrowski, K., Tracz, M.: ‘Variability of capacity and traffic performance at urban and rural signalized intersections’, Transp. Res. Procedia, 2016, 15, pp. 8799.
    3. 3)
      • 23. Guidelines for design of at grade intersections in rural and urban areas’. IRC special publication, Indian Road Congress (IRC), No. 41, New Delhi, India, 1994.
    4. 4)
      • 7. Cuddon, A.P., Ogden, K.W.: ‘The effect of heavy vehicles on saturation flow at signalized intersections’. Proc. 16th ARRB Conf., Part 5, Melbourne, Perth Western, Australia, 1992, vol. 16, pp. 118.
    5. 5)
      • 18. Saha, A., Ghosh, I., Chandra, S.: ‘Saturation flow estimation at signalized intersections under mixed traffic conditions’, WIT Trans. Built Environ., 2017, 176, ISSN 1743-3509, pp. 387393.
    6. 6)
      • 4. A method of measuring saturation flow at traffic signals’. Transport and Road Research Laboratory, Road Note No. 34, London, 1963.
    7. 7)
      • 22. Sushmitha, R., Shankar, K.V.R.: ‘Analysis and estimation of saturation flow at signalized intersections in mixed traffic conditions’. World Conf. on Transport Research-WCTR 2019, Mumbai, India, 26–31 May 2019.
    8. 8)
      • 12. Ghasemlou, K., Topal, A., Tanyel, S., et al: ‘Investigation of effect of heavy vehicles on capacity of signalized intersections based on Bayes theorem’. Second Transportation and Development Congress, ASCE, Orlando, FL, USA, 2014.
    9. 9)
      • 11. Anusha, C.S., Verma, A., Kavitha, G.: ‘Effects of two wheelers on saturation flow at signalized intersections in developing countries’, J. Transp. Eng., 2013, 139, (5), pp. 448457.
    10. 10)
      • 2. Susilo, B.H., Solihin, Y.: ‘Modification of saturation flow rate formula by width of road approach’. 6th Int. Symp. on Highway Capacity and Quality of Service, Stockholm, Sweden, Procedia Social and Behavioural Sciences, 2011.
    11. 11)
      • 16. Rajgor, T.B., Patel, A.K., Gundaliya, P.J.: ‘Development of saturation rate model for heterogeneous traffic at urban signalized intersection’, Int. J. Innov. Res. Technol., 2016, 2, (12), pp. 151155.
    12. 12)
      • 19. Roshani, M., Bargegol, I.: ‘Effect of pedestrians on the saturation flow rate of right turn movements at signalized intersections’, Mater. Sci. Eng., 2017, 245, pp. 112.
    13. 13)
      • 3. Hamad, K., Abuhamda, H.: ‘Estimating base saturation flow rate for selected signalized intersections in Doha, Qatar’, J. Traffic Logist. Eng., 2015, 3, (2), pp. 168171.
    14. 14)
      • 20. Preethi, P., Ashalatha, R.: ‘Modelling saturation flow rate and right turn adjustment factor using area occupancy concept’ in Macário, R. (Ed.): ‘Case studies on transport policy’ (Elsevier, 2018), pp. 6371.
    15. 15)
      • 9. Arasan, V.T., Vedagiri, P.: ‘Estimation of saturation flow of heterogeneous traffic using computer simulation’. Proc. 20th European Conf. on Modelling and Simulation (ECMS), Bonn, Germany, 2006.
    16. 16)
      • 17. Caliskanelli, S.P., Atasever, F.C., Tanyel, S.: ‘Start-up lost time and its effect on signalized intersections in Turkey’, Traffic Transp., 2017, 29, (3), pp. 321329.
    17. 17)
      • 15. Nguyen, H.D.: ‘Saturation flow rate analysis at signalized intersections for mixed traffic conditions in motor cycle dependent cities’, Transp. Res. Procedia, 2016, 15, pp. 694708.
    18. 18)
      • 8. Hossain, M.: ‘Estimation of saturation flow at signalized intersections of developing cities: a micro-simulation modelling approach’, Transp. Res. Proc. A, 2001, 35, pp. 123141.
    19. 19)
      • 1. Branston, D.: ‘Estimation of saturation flow, effective green time, passenger car equivalents at traffic signals by multiple linear regression’, Transp. Res., 1978, 12, pp. 4753.
    20. 20)
      • 13. Shrestha, S., Marsini, A.: ‘Development of saturation flow and delay model at signalized intersection of Kathmandu’. Proc. IOE Graduate Conf., Kathmandu, Nepal, 2014.
    21. 21)
      • 21. Lu, Z., Kwon, T.J., Fu, L.: ‘Effects of winter weather on traffic operations and optimization of signalized intersections’, J. Traffic Transp. Eng., 2019, 6, (2), pp. 196208.
    22. 22)
      • 6. Indian highway capacity manual (INDO HCM)’. Council of Scientific and Industrial Research (CSIR), New Delhi, 2017.
    23. 23)
      • 14. Patel, N., Patel, S.G.: ‘Capacity analysis of signalized intersections by use of saturation flow rate under mixed traffic conditions’, PariPex – Indian J. Res., 2012, 1, (7), pp. 3335.
http://iet.metastore.ingenta.com/content/journals/10.1049/iet-its.2019.0470
Loading

Related content

content/journals/10.1049/iet-its.2019.0470
pub_keyword,iet_inspecKeyword,pub_concept
6
6
Loading
This is a required field
Please enter a valid email address