IEEE Access | |
Impact of Automated Vehicle Eco-Approach on Human-Driven Vehicles | |
Young-Ji Byon1  Lian Cui2  B. Brian Park2  Jia Hu3  Huifu Jiang4  | |
[1] Department of Civil Infrastructure and Environmental Engineering, Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates;Department of Civil and Environmental Engineering, University of Virginia, Charlottesville, VA, USA;Key Laboratory of Road and Traffic Engineering, Ministry of Education, College of Transportation Engineering, Institute for Advanced Study, Tongji University, Shanghai, China;School of Transportation Science and Engineering, Harbin Institute of Technology, Harbin, China; | |
关键词: Road transportation; traffic flow; connected and automated vehicle; eco-approach; human factor; | |
DOI : 10.1109/ACCESS.2018.2874761 | |
来源: DOAJ |
【 摘 要 】
In urban areas, traffic signals cause unnecessary stops and delays to vehicles resulting in excessive energy consumptions and emissions. The eco-approach technology has been introduced to achieve environment-friendly driving behaviors and to improve energy efficiencies with reduced rapid accelerations or decelerations. However, it is not clear how the behavior of drivers would change while following an eco-approaching vehicle. Especially in the mixed traffic, dynamics behind the interactions between the human-driven vehicle and connected automated vehicle (CAV) that perfectly achieves the eco-approach and the impacts on energy consumptions are not transparent. This research designs a driving simulation environment for the mixed traffic to assess the benefits of the eco-approach. In the experiments, a straight roadway with four signalized intersections equipped with communication devices is developed. An eco-guidance algorithm for human drivers and an eco-approach control algorithm of CAV with the I2-V communication system are designed and compared, where each scenario is tested 50 times with a human driver using a driving simulator. The results indicate that both the eco-guidance scenario and following CAV with the eco-approach scenario could reduce over 6% of fuel consumptions compared with the base-case scenario, which is normal-driving without guidance. This indicates the energy efficiency benefit of the eco-approach of CAVs and its impact on surrounding vehicles in the mixed traffic.
【 授权许可】
Unknown