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

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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 Polatl & imath; 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.

Description

Institutional Author Profiles

Keywords

bluetooth, traffic analysis, performance analysis, signalized intersection, delay parameter, fully adaptive signaling system, simulation modeling, Delay, Optimization, Systems, Model, Technology, delay parameter, QH301-705.5, T, Physics, QC1-999, bluetooth, Engineering (General). Civil engineering (General), signalized intersection, fully adaptive signaling system, Chemistry, traffic analysis, performance analysis, TA1-2040, Biology (General), QD1-999, simulation modeling

Fields of Science

02 engineering and technology, 0202 electrical engineering, electronic engineering, information engineering

Citation

WoS Q

Scopus Q

Volume

14

Issue

17

Start Page

7849

End Page

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Scopus : 1

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Mendeley Readers : 4

Web of Science™ Citations

1

checked on Aug 12, 2026

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7

checked on Aug 12, 2026

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