01479154

Component

Traffic management centers (TMCs) have successfully applied advanced management strategies to reduce incident impacts. However, the effectiveness of the management strategies can be enhanced by predicting, in real-time, the impacts of incidents based on the identified attributes of these incidents. This study investigates the implementation of macroscopic and microscopic traffic simulation models to estimate incident delays, as part of a real-time traffic management system. The two tools used in the investigation are FREEVAL, the computational engine of the Highway Capacity Manual 2010 (HCM 2010) and the CORSIM microscopic simulation tool. It can be concluded based on the results of this study that both CORSIM and FREEVAL are able to predict traffic delays due to incidents, however, the accuracy of prediction is affected by the accuracy of incident duration prediction and capacity drop estimates. The analysis also indicates that both models produce similar estimates of incident delays when the same analysis parameters are input to these two models, at least for the case studies investigated in this paper.

This paper was sponsored by TRB committee AHB40 Highway Capacity and Quality of Service.

01470560

13-2783

English

14p

2013

Transportation Research Board 92nd Annual Meeting

Digital/other

Figures; References

Decision support systems; Microsimulation; Traffic delays; Traffic forecasting

CORSIM (Traffic simulation model); FREEVAL (Computer program); Highway Capacity Manual

Data and Information Technology; Highways; Operations and Traffic Management; I70: Traffic and Transport

Transportation Research Board Annual Meeting 2013 Paper #13-2783

TRIS, TRB, ATRI

Feb 5 2013 12:34PM