01592123

Component

In recent research a performance evaluation framework for traffic management and Intelligent Transport Systems was developed, consisting of a set of Key Performance Indicators (KPIs) for the strategic themes of traffic efficiency, safety, pollution reduction and social inclusion. One of the innovative elements of these KPIs is their ability to consider the transport policy layer, in the sense that the evaluation of the suitability and effectiveness of different intelligent transportation systems (ITS) options is calculated in relation to the decision-maker’s high-level transport policy rather than objectively. This is achieved through weighting factors, whereby more important policy objectives are weighted more heavily in the calculation. But while the theoretical framework is ready to accommodate the policy layer, no methodology to determine the values of the weighting factors has been developed so far. The present study, therefore, concentrates on the development and testing of such a methodology, focusing on the environmental impact aspect of urban mobility management and ITS. The development is based on existing policy objectives and legislation in different cities and countries, while testing is carried out using the purpose-developed CONDUITS_DST software with data from microsimulation models before and after the implementation of a bus priority signalling system in Brussels, Belgium. The results show that the method captures the expected effects, but also that it is able to reflect policy objectives and deliver evaluation results in relation to their alignment with those.

This paper was sponsored by TRB committee ABC30 Standing Committee on Performance Management.

01584066

16-0178

English

11p

2016

Transportation Research Board 95th Annual Meeting

Digital/other

Figures; References; Tables

Bus priority; Environmental impact analysis; Intelligent transportation systems; Metrics (Quantitative assessment); Microsimulation; Mobility; Policy; Urban areas

Brussels (Belgium)

Data and Information Technology; Environment; Highways; Operations and Traffic Management; Planning and Forecasting; Policy; Public Transportation; I10: Economics and Administration; I15: Environment; I72: Traffic and Transport Planning; I73: Traffic Control

Transportation Research Board Annual Meeting 2016 Paper #16-0178

TRIS, TRB, ATRI

Jan 12 2016 4:19PM