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Composite Weighted Flow-Dependent Headway Model for Intersections in Port Harcourt Metropolis

Greatman Odenigwe Ugwuezi, and Achemie Lewis Oba

Abstract

This study was centered on developing a composite weighted flow-dependent headway model for analysing vehicle headway at Selected Traffic Intersections in port Harcourt metropolis. The research was carried out for a period of one month, on week days only during peak hours. For vehicle headway distributions; the composite weighted flow-dependent headway model alongside the existing Negative exponential, Pearson type three and shifted exponential distribution models were used in modelling and analysing the observed field data from the intersections. The statistical techniques employed in the course of this study include; Determination of the numbers of vehicles, the arrival rate, mean headway, volume, speed, density, LOS and the goodness of fit of the headway models using chi-square test. AGIP had an average flow of 2152 veh/hr, UST had an average flow of 1656 veh/hr. As for the mean headway, whereas it was observed that the AGIP had an average mean headway of 1.65 sec/veh, UST had an average mean headway of 2.17 sec/veh. Observed vehicle headway frequencies of each intersections were modeled against the four vehicle headway models to give the expected vehicle headway frequencies of each intersections. The observed vehicle headway frequencies of each intersection was plotted against the expected vehicle headway frequencies. The newly developed linear weighted flow-dependent headway model, when compared against the observed headway was the best fit for all case studies in-view. At 5% significance level, the critical value was 12.59. In other to determine if it fails to reject the null hypothesis or if it rejects the null hypothesis. chi-square statistics value of the newly developed linear weighted flow-dependent model was less in value as shown in Table 1, than that of the negative exponential, shifted exponential and Pearson type three model with respective to the Observed headway, thus making it a more reliable headway model than the other existing models.

Keywords

Headway distribution model; Adaptive traffic modeling; Linear weighted model; Flow- dependent; Traffic simulation; Multi-regime traffic; Urban intersections

References

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