A Less-Disturbed Ecological Driving Strategy for Connected and Automated Vehicles

نویسندگان

چکیده

This paper proposes a less-disturbed ecological driving strategy for connected and automated vehicles (CAVs). The proposed integrates the offline planning online tracking. In planning, an energy efficient reference speed is created based on traffic information (such as average speed) characteristics of vehicle engine efficiency map) via dynamic programming. consideration in avoids selfish optimisations. tracking, model predictive control employed to update real-time track speed. A key challenge applying strategies real that has consider other participants when tracking Therefore, this combines both longitudinal lateral achieve better by overtaking preceding necessary. been evaluated simulations single road segment scenario environment. Comparisons method with benchmark human drivers are made. results demonstrate more effective saving. Compared drivers, eco-driving improves fuel CAVs 4.53%.

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ژورنال

عنوان ژورنال: IEEE transactions on intelligent vehicles

سال: 2023

ISSN: ['2379-8904', '2379-8858']

DOI: https://doi.org/10.1109/tiv.2021.3112499