Capacity Analysis for Fixed-Time Signalized Intersection for Non-Lane Based Traffic Condition

Article Preview

Abstract:

Capacity analysis of signalized intersections basically consists of estimating saturation flow and delay. Pre-timed signals are most commonly used in developing countries. This research deals with development of saturation flow and delay models for pre-timed signalized intersections with reference to non-lane based traffic condition prevailing in Bangladesh. In order to account non-uniformity in the static and dynamic characteristics of the vehicles passenger car unit (PCU) values for each vehicle is found out using synchronous regression technique and a range of site-specific PCU values were obtained. From this study, it has been observed that unified PCU concept does not hold good for non-lane based traffic condition and it has been recommended that the analysis should be site specific for non-lane based traffic condition. The saturation flow for each study approach was calculated using the average PCU values and multiple linear regression techniques were then used to derive predictive saturation flow models. Field delay for each approach is calculated based on HCM 2000 guidelines. It has been observed that HCM 2000 delay model consistently over estimate delay at degree of saturation more than 1.0. It has been suggested from the analysis that theoretical incremental delay (due to random arrival and over saturated queues) in HCM 2000 delay model be reduced by 70 % to better reflect field conditions in capacity analysis for non lane based traffic condition.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 83-86)

Pages:

904-913

Citation:

Online since:

December 2009

Export:

Price:

[1] Webster, F.V. and Cobbe, B.M., Traffic signals, Road Research Technical Paper No. 56, HMSO, London (1966).

Google Scholar

[2] Road Research Laboratory, A method of measuring saturation flow at traffic signals, Road Note 34, HMSO, London, (1963).

Google Scholar

[3] Highway Capacity Manual 2000, TRB, National Research Council, Washington, D. C., (1999).

Google Scholar

[4] Turner, J and G Harahap, Simplified saturation flow data collection methods, CODATU VI Conference on the Development and Planning of Urban Transport, Tunis, February, (1993).

Google Scholar

[5] Branston, D.M. and Vanzuylen, J.H., The estimation of saturation flow, effective green time and passenger car equivalents at traffic signals by multiple linear regression, Transportation Research Vol. 12, (1978).

DOI: 10.1016/0041-1647(78)90107-7

Google Scholar

[6] Branston, D. M and Gipps, P., Some experience with a multiple linear regression method of estimating parameters of the traffic signal departure process, Transportation Research Vol. 19, (1981).

DOI: 10.1016/0191-2607(81)90112-6

Google Scholar

[7] SPSS for windows, Statistical Analysis Software, SPSS inc., Release 11, June (2000).

Google Scholar