Application of a Particular Class of Markov Chains in the Assessment of Semi-actuated Signalized Intersections

• Type: Article in International Conference Proceedings Book
• Date: 2017

Authors

Francisco Macedo (Author) Other; Paula Milheiro de Oliveira (Author) FEUP; António Pacheco (Author) Other; Maria de Lurdes Simões (Author) FEUP

Conference proceedings International

Title: ANALYTICAL AND STOCHASTIC MODELLING TECHNIQUES AND APPLICATIONS, ASMTA 2017

Pages: 138-151

24th International Conference on Analytical and Stochastic Modelling Techniques and Applications (ASMTA)

Newcastle upon Tyne, ENGLAND, JUL 10-11, 2017

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Authenticus ID: P-00M-WB5

DOI: 10.1007/978-3-319-61428-1_10

Abstract (EN): We investigate a queuing model for a signalized intersection regulated by semi-actuated control in a urban traffic network. Modelling the queue length and the delay of vehicles for this type of traffic, characterized by variable durations of the green signal, is crucial to evaluate the performance of traffic intersections. Additionally, determining the size of the extensions of the green signal is also relevant. The traffic systems addressed in the paper have the particularity that the server remains active (green signal) for a period of time that depends on the number of vehicles waiting at the intersection. This gives rise to an M/D/1 queuing system with a server that occasionally takes vacations (red signal), for which we compute the long-run mean delay of vehicles, mean queue length and mean duration of the green signal. We consider a case study and compare the results obtained from the proposed queueing model with those obtained by using a microsimulation model. The formulas derived for the performance measures are of interest for traffic engineers, since the existing alternative formulas are subject to strong criticism.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 14