01558939

Component

https://doi.org/10.3141/2491-03

Real-time traffic management systems with integrated proactive decision support capabilities are expected to operate with (a) limited prediction accuracy (b) decision-making latency, and (c) partial coverage of the managed area. Such deficiencies are difficult to avoid in most real-world traffic network management applications, and there is a need to quantify the effect of these deficiencies on the performance of traffic network management systems. This paper studies the effectiveness of a proactive traffic management system. Various levels of prediction accuracy of the traffic network state, decision-making latency, and partial area coverage are considered. A traffic management system that emulates real-time operations is developed. The system adopts a closed-loop rolling horizon framework, which integrates network state estimation and prediction modules as well as decision support capabilities. A set of simulation experiments considers a hypothetical highway network. The results show that the effectiveness of the traffic management system can be affected by the deficiencies. However, the impact could be smaller if these deficiencies are kept under certain levels.

01586813

15-3224

English

pp 22–31

2015

Transportation Research Record: Journal of the Transportation Research Board

9780309369275

Print

Figures (6) ; References (31)

Advanced traffic management systems; Dynamic traffic assignment; Network analysis (Planning); Real time information; Sensitivity analysis; Traffic forecasting

Data and Information Technology; Highways; Operations and Traffic Management; Planning and Forecasting; I72: Traffic and Transport Planning; I73: Traffic Control

TRIS, TRB, ATRI

Dec 30 2014 1:05PM

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