01629855

Component

This paper presents an alternative method to estimate Annual Average Daily Traffic (AADT) volume of road segments in metropolitan areas based on the road network centrality. The proposed method is more rigorous than existing network centrality applications due to two novel features incorporated. First is ‘multiple centrality’, which captures traffic that a road segment attracts as the destination as well as a pass-by, in-between point. Second is ‘weighted link cost’ that integrates ‘road type’ variable with ‘geometric distance’ at the global level and with ‘metric distance’ at local level respectively. Therefore, in addition to the ‘topological distance’, which commonly employ in existing methods, the new method can effectively capture some of the roadway characteristics. The case study that conducted in Colombo Metropolitan Area, Sri Lanka revealed a strong correlation between AADT values and weighted network centrality (WNC) values. Further, the study noted that WNC values have a better relationship with AADT than the centrality values computed without weighting. The study developed a model to estimate AADT by utilizing ‘multiple weighted network centrality values’ as endogenous variables, with a reasonable level of predictability and accuracy (validation R 2= 0.93 and MdAPE =26%). Unlike many of the existing methods for estimating AADT, the proposed method requires neither land-use nor travelers’ O-D trip data, hence, smoothly applicable in data-constrained contexts. Therefore, the study recommends the proposed method as a practical tool for transport planners and engineers, especially who work in developing countries.

This paper was sponsored by TRB committee ADB30 Standing Committee on Transportation Network Modeling.

01618707

17-03141

English

18p

2017

Transportation Research Board 96th Annual Meeting

Digital/other

Figures; References; Tables

Annual average daily traffic; Metropolitan areas; Traffic estimation

Road segments

Colombo (Sri Lanka)

Highways; Operations and Traffic Management; Planning and Forecasting

Transportation Research Board Annual Meeting 2017 Paper #17-03141

TRIS, TRB, ATRI

Dec 8 2016 11:10AM