Developing and Field Testing a Green Light Optimal Speed Advisory System for Buses
dc.contributor.author | Chen, Hao | en |
dc.contributor.author | Rakha, Hesham A. | en |
dc.date.accessioned | 2022-02-25T13:46:50Z | en |
dc.date.available | 2022-02-25T13:46:50Z | en |
dc.date.issued | 2022-02-17 | en |
dc.date.updated | 2022-02-24T14:49:55Z | en |
dc.description.abstract | In this study, a Green Light Optimal Speed Advisory (GLOSA) system for buses (B-GLOSA) was developed. The proposed B-GLOSA system was 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 relationship between vehicle speed and distance to the intersection are used to construct an optimization problem. A moving-horizon dynamic programming problem solved using the A-star algorithm 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 recommended 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 intersections, thus 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. | en |
dc.description.version | Published version | en |
dc.format.mimetype | application/pdf | en |
dc.identifier.citation | Chen, H.; Rakha, H.A. Developing and Field Testing a Green Light Optimal Speed Advisory System for Buses. Energies 2022, 15, 1491. | en |
dc.identifier.doi | https://doi.org/10.3390/en15041491 | en |
dc.identifier.uri | http://hdl.handle.net/10919/108859 | en |
dc.language.iso | en | en |
dc.publisher | MDPI | en |
dc.rights | Creative Commons Attribution 4.0 International | en |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | en |
dc.subject | eco-driving | en |
dc.subject | GLOSA | en |
dc.subject | signalized intersection | en |
dc.subject | diesel bus | en |
dc.subject | eco-cooperative adaptive cruise control | en |
dc.subject | fuel consumption model | en |
dc.subject | field test | en |
dc.title | Developing and Field Testing a Green Light Optimal Speed Advisory System for Buses | en |
dc.title.serial | Energies | en |
dc.type | Article - Refereed | en |
dc.type.dcmitype | Text | en |