Minimizing Intersection Waiting Time: Proposal of a Queue Network Model Using Kendall’s Notation in Panama City

Author:

Rovetto Carlos1,Cruz Edmanuel2ORCID,Nuñez Ivonne1ORCID,Santana Keyla3,Smolarz Andrzej4ORCID,Rangel José2ORCID,Cano Elia Esther1ORCID

Affiliation:

1. Research Group on Engineering Technologies Applied to Society (GIITAS), Universidad Tecnológica de Panamá, Panama City 0819-07289, Panama

2. Faculty of Computer Systems Engineering, Universidad Tecnológica de Panamá, Panama City 0819-07289, Panama

3. Ministerio de Educación de Panamá, Panama City 0819-07289, Panama

4. Department of Electronics and Information Technology, Lublin University of Technology, 20-618 Lublin City, Poland

Abstract

The paper presents a proposed queuing model based on Kendall’s notation for the intersection of two streets in Panama City (53 East and 56 East). The proposed model is based on a set of traffic lights that controls the flow of vehicles at the intersection according to a predetermined schedule. The model analyzes the stability of the system and simulations are performed to evaluate its performance. The main objective of the paper is to optimize the vehicle flow by minimizing the waiting time for passage. In the study, it was observed that the current traffic light system on Calle 50 (50th Street) is unstable and oversaturated during weekdays, which generates large vehicle queues with no estimated exit times. It was proposed to increase the system capacity to 1300 vehicles per hour to achieve reasonable stability and provide a solution to improve traffic signal timing on 50th Street. The need to increase the system capacity has been demonstrated and an optimal value has been suggested. The evaluation of other models and the use of AI can further strengthen the system and improve the prediction accuracy in different traffic scenarios.

Publisher

MDPI AG

Subject

Fluid Flow and Transfer Processes,Computer Science Applications,Process Chemistry and Technology,General Engineering,Instrumentation,General Materials Science

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