Traffic queue modeling at signalizedintersection with queuing theory and shockwave analysis

RESPATI, Sara Wibawaning, Prof. Dr. Ir. Siti Malkhamah, M.Sc

2010 | Tesis |

Traffic performance at the intersection dictates the performance of the rest of the road network. One of the performance measurement i.e. queue length often arise at intersection, so that, it is imperative to conduct a study about queue length. The thesis’s objective is to study the queue length at the signalized intersection. The queue length was modeled by 2 methods, there are Queuing Theory and Shockwave Analysis. To calculate the queue with shock-wave analysis, the traffic flow models i.e. Greenshield, Greenberg and Underwood are used and would be chosen the best one. The data collections are done over the study area including the traffic flow, traffic speed, traffic signal timing and geometric data. Afterward, the data are used to calculate the queue length by both models. In order to see how the model works, the validation process by means of comparing the observation data and the analysis data was undertaken. In the last, the paper provides an improvement using AIMSUN software regarding the implementation of Intelligent Transport System. The improvement was to install actuated control signal. The analysis results are that the better traffic flow model is Greenshield, for the queue length modeling, the Shockwave Analysis can model the reality fairly well compared to Queuing Theory. The Shockwave Analysis performs good modeling of long queue, whilst the Queuing Theory performs good modeling of the number of vehicle in queue. The installation of actuated signal control can reduce the queue length at the observed area by 39%. The suggestion and the thesis’s results can be adopted by local government to enhance intersection performance.

Kata Kunci : Queue length,Shockwave analysis,Queuing theory