Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Developing and Field Testing a Green Light Optimal Speed Advisory System for Buses

Version 1 : Received: 9 December 2021 / Approved: 13 December 2021 / Online: 13 December 2021 (12:34:52 CET)

How to cite: Chen, H.; Rakha, H.A. Developing and Field Testing a Green Light Optimal Speed Advisory System for Buses. Preprints 2021, 2021120198 (doi: 10.20944/preprints202112.0198.v1). Chen, H.; Rakha, H.A. Developing and Field Testing a Green Light Optimal Speed Advisory System for Buses. Preprints 2021, 2021120198 (doi: 10.20944/preprints202112.0198.v1).

Abstract

This paper develops a Green Light Optimal Speed Advisory (GLOSA) system for buses (B-GLOSA). The proposed B-GLOSA system is implemented on diesel buses, and field tested to validate and quantify the potential real-world benefits. The developed system includes a simple and easy to calibrate fuel consumption model that computes instantaneous diesel bus fuel consumption rates. The bus fuel consumption model, a vehicle dynamics model, the traffic signal timings, and the re-lationship between vehicle speed and distance to the intersection are used to construct an optimi-zation problem. A moving-horizon dynamic programming problem solved using the A-star algo-rithm is used to compute the energy-optimized vehicle trajectory through signalized intersections. The Virginia Smart Road test facility was used to conduct the field test on 30 participants. Each participant drove three scenarios including a base case uninformed drive, an informed drive with signal timing information communicated to the driver, and an informed drive with the recom-mended speed computed by the B-GLOSA system. The field test investigated the performance of using the developed B-GLOSA system considering different impact factors, including road grades and red indication offsets, using a split-split-plot experimental design. The test results demonstrated that the proposed B-GLOSA system can produce smoother bus trajectories through signalized in-tersections producing fuel consumption and travel time savings. Specifically, compared to the uninformed drive, the B-GLOSA system produces fuel and travel time savings of 22.1% and 6.1% on average, respectively.

Keywords

eco-driving; GLOSA; signalized intersection; diesel bus; eco-cooperative adaptive cruise control; fuel consumption model; field test

Subject

ENGINEERING, Civil Engineering

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