Real-Time Performance Measurement Application via Bluetooth Signals for Signalized Intersections

Author:

Yalçınlı Fuat12ORCID,Akdemir Bayram1,Durdu Akif1ORCID

Affiliation:

1. Robotics Automation Control Laboratory (RAC-LAB), Department of Electrical and Electronics Engineering, Konya Technical University, 42250 Konya, Türkiye

2. Department of Traffic Engineering, R&D Center, Mosaş Smart Transportation Technologies Inc., 42160 Konya, Türkiye

Abstract

Improving the performance at signalized intersections can be achieved through different management styles or sensor technologies. It is crucial that we measure the real-time impact of these variables on intersection performance. This study introduces a Bluetooth-based real-time performance measurement system applicable to all signalized intersections. Additionally, the developed method serves as a feedback tool for adaptive intersection management systems, providing valuable data input for performance optimization. The method developed in the study is applied at the Refik Cesur Intersection in the Polatlı district of Ankara where delay values are calculated based on traffic flows and data from Bluetooth sensors positioned at strategic locations. Initially, the intersection operated under a fixed-time signaling system, followed by a fully adaptive signaling system the next day. The performance of these two systems is compared using the Bluetooth-based application. The results show that the average delay per vehicle per day is 58.1 seconds/vehicle for the fixed-time system and 45.3 seconds/vehicle for the adaptive system. To validate the Bluetooth-based performance measurement system, the intersection is modeled and simulated using Aimsun Simulation Software Next 20.0.4. The simulation results confirm the findings of the Bluetooth-based analysis, demonstrating the effectiveness of the adaptive signaling system in reducing delays.

Publisher

MDPI AG

Reference41 articles.

1. Miyim, A.M., and Muhammed, M.A. (2019, January 10–12). Smart Traffic Management System. Proceedings of the 2019 15th International Conference on Electronics, Computer and Computation (ICECCO), Abuja, Nigeria.

2. Frank, A., Khamis Al Aamri, Y.S., and Zayegh, A. (2019, January 15–16). IoT Based Smart Traffic Density Control Using Image Processing. Proceedings of the 2019 4th MEC International Conference on Big Data and Smart City (ICBDSC), Muscat, Oman.

3. Intelligent traffic management system based on the internet of vehicles (IoV);AlShalfan;J. Adv. Transp.,2021

4. Shankaran, S., and Rajendran, L. (2021, January 27–29). Real-Time Adaptive Traffic Control System for Smart Cities. Proceedings of the 2021 International Conference on Computer Communication and Informatics (ICCCI), Coimbatore, India.

5. Tam trafik uyarmalı sinyalizasyon sisteminin simülasyon modellemesi ve iyileştirme oranlarının saptanması;Akdemir;Int. J. Adv. Nat. Sci. Eng. Res.,2023

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