Long-Term Benefits of Adaptive Traffic Control under Varying Traffic Flows during Weekday Peak Hours

Author:

Stevanovic Aleksandar1,Kergaye Cameron2,Stevanovic Jelka3

Affiliation:

1. Department of Civil, Environmental, and Geomatics Engineering, Florida Atlantic University, Building 36, Room 225, 777 Glades Road, Boca Raton, FL 33431.

2. Utah Department of Transportation, P.O. Box 148410, Salt Lake City, Utah 84114-8410.

3. 2145 Northwest 3rd Court, Boca Raton, FL 33431.

Abstract

When adaptive traffic control systems (ATCSs) are evaluated, traffic signal engineers and practitioners often collect data for a few weeks before and after installation. Benefits are then estimated on the basis of this limited data set. The evaluation of an ATCS with microsimulation requires considerable collection of field data. However, once an ATCS is installed, an abundance of data is collected and stored by the ATCS itself. These data (mostly traffic volumes) can be used to recreate field variability of traffic conditions in a model and perform long-term ATCS evaluation studies. This paper reports on the projected long-term benefits of deploying an ATCS. Field traffic data were statistically processed and modeled in microsimulation. The Sydney coordinated adaptive traffic system (SCATS) and two time-of-day (TOD) plans were exposed to variability of field traffic flows modeled in VISSIM. A simple calculation was then performed to extrapolate results to a period of 10 years. Findings showed that SCATS outperformed existing TOD signal-timing plans by about 20% and was better than the best TOD plan that could be theoretically developed on the basis of collection of long-term data. Results from the study revealed that short-term analyses often obscured the true benefits of deploying an ATCS. A computation of the monetary value of achieved benefits showed that limited operational benefits reported in this paper, when projected over the long term, would exceed overall installation costs for SCATS in Park City, Utah. These benefits are expected to increase further with inclusion of the analysis periods that were not part of this study.

Publisher

SAGE Publications

Subject

Mechanical Engineering,Civil and Structural Engineering

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1. Traffic Signal Systems Solutions Toolbox: A Case Study from Pennsylvania;Transportation Research Record: Journal of the Transportation Research Board;2024-02-26

2. Data-Driven Decision Support Platform for Selection of Intersections for Adaptive Traffic Signal Control;Transportation Research Record: Journal of the Transportation Research Board;2023-04-13

3. Feasibility Assessment for Implementing Adaptive Traffic Signal Control;Journal of Transportation Engineering, Part A: Systems;2019-02

4. Assessing Longitudinal Arterial Performance and Traffic Signal Retiming Outcomes;Transportation Research Record: Journal of the Transportation Research Board;2016-01

5. Integrating Outcome Oriented Performance Measures into Traffic Signal Operations Business Processes;2015 IEEE 18th International Conference on Intelligent Transportation Systems;2015-09

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