Design and Implementation of Ecological Adaptive Cruise Control for Autonomous Driving with Communication to Traffic Lights | IEEE Conference Publication | IEEE Xplore

Design and Implementation of Ecological Adaptive Cruise Control for Autonomous Driving with Communication to Traffic Lights


Abstract:

This paper presents the design and implementation results of an ecological adaptive cruise controller (ECO-ACC) which exploits driving automation and connectivity. The co...Show More

Abstract:

This paper presents the design and implementation results of an ecological adaptive cruise controller (ECO-ACC) which exploits driving automation and connectivity. The controller avoids front collisions and traffic light violations, and is designed to reduce the energy consumption of connected automated vehicles by utilizing historical and real-time signal phase and timing data of traffic lights that adapt to the current traffic conditions. We propose an optimization-based generation of a reference velocity, and a velocity-tracking model predictive controller that avoids front collisions and violations. We present an experimental setup encompassing the real vehicle and controller in the loop, and an environment simulator in which the traffic flow and the traffic light patterns are calibrated on real-world data. We present simulation and experimental results, finding a significant potential for energy consumption reduction, even in the presence of traffic.
Date of Conference: 10-12 July 2019
Date Added to IEEE Xplore: 29 August 2019
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Conference Location: Philadelphia, PA, USA

I. Introduction

Advanced Driving Assistance Systems (ADAS) represent the first mass deployment of driving automation technologies to the mass market. Adaptive Cruise Control (ACC), autonomous emergency braking, and lane keeping assistance are examples of widely deployed functions in today's cars. These technologies are already included in vehicles with socalled Level 2 automation [1].

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