AERIS: Eco-Vehicle Speed Control at Signalized Intersections Using I2V Communication

Rakha, Hesham A.; Kamalanathsharma, Raj Kishore; Ahn, Kyoungho · 2012 · ROSA P / United States. Joint Program Office for Intelligent Transportation Systems

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Summary

This paper introduces AERIS (Eco-Vehicle Speed Control), a decision support system designed to reduce fuel consumption and emissions for vehicles approaching signalized intersections. The research is motivated by the significant petroleum consumption and carbon emissions associated with surface transportation, particularly the waste caused by idling and inefficient driving maneuvers at traffic signals. While previous efforts focused on infrastructure improvements or general eco-driving techniques, this study leverages Vehicle-to-Infrastructure (V2I) communication to provide real-time signal phasing and timing (SPaT) data to vehicles, enabling precise speed trajectory optimization. The AERIS system utilizes Dedicated Short-Range Communication (DSRC) to receive information regarding upcoming signal changes, specifically Time to Red (TTR) and Time to Green (TTG), as well as lead vehicle characteristics and roadway features. The core methodology involves a complex optimization logic that computes a fuel-optimal speed profile. This process is divided into two steps: first, determining the optimal time to intersection based on signal and queue data; second, calculating the specific speed trajectory using microscopic fuel consumption models, vehicle acceleration capabilities, and roadway characteristics. The system categorizes approach scenarios into four types, ranging from proceeding at current speed to accelerating through a green light, stopping for a red light, or decelerating to arrive precisely when the signal turns green. The optimization logic explicitly minimizes fuel consumption as its objective function, distinguishing it from prior research that often simplified objectives to minimizing deceleration rates or arrival time. The vehicle’s trajectory is modeled in three phases: upstream deceleration, optional cruising, and downstream acceleration. The system employs a constant deceleration model for the upstream phase and a vehicle dynamics model for the non-linear downstream acceleration phase. Crucially, it integrates the Virginia Tech Comprehensive Power-based Fuel Model (VT-CPFM) to predict instantaneous fuel consumption for various speed profiles. The algorithm evaluates infinite possible deceleration and cruising combinations to find the trajectory that minimizes total fuel use from the point of receiving signal information until the vehicle reverts to its original speed downstream. The significance of this work lies in its development of a MATLAB application, named eco-vehicle speed control, which demonstrates the potential for in-vehicle implementation of such technology. By retaining fuel consumption as the explicit optimization objective and utilizing state-of-the-art microscopic models, AERIS provides a more accurate and effective method for reducing the environmental impact of driving at intersections. The study concludes that integrating V2I communication with advanced optimization logic offers a viable pathway for enhancing transportation sustainability, reducing the carbon footprint of the transportation sector, and improving overall fuel efficiency without requiring changes to vehicle hardware or infrastructure design beyond communication capabilities.

Key finding

The AERIS system utilizes a complex optimization logic incorporating roadway characteristics, lead vehicle information, and microscopic fuel consumption models to generate a fuel-optimal speed profile for vehicles approaching signalized intersections.

Methodology

modeling

Provenance

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Summary generated by qwen3.6-27b-prismaquant on 2026-06-10; verification: verified.

Topics

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• eco driving