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Safe and Energy-Saving Vehicle-Following Driving Decision-Making Framework of Autonomous Vehicles

  • Northwestern Polytechnical University Xian
  • Hunan University
  • Chalmers University of Technology

Research output: Contribution to journalArticlepeer-review

53 Scopus citations

Abstract

The safety and energy efficiency of autonomous vehicles in the vehicle-following driving scenario is seriously affected by the decision-making framework. This article proposes a safe and energy-saving decision-making framework for autonomous vehicles to avoid the potential rear-end collision and improve the energy efficiency in vehicle-following driving scenario. To realize this framework, the vehicle longitudinal dynamics model is first presented, and the autonomous vehicle's requirements from the safety and energy efficiency perspectives are comprehensively analyzed in the vehicle-following driving scenario. Then, a two-stage decision-making framework is designed. The first stage determines the safety region in the powertrain control domain, and the second stage determines the optimal energy efficiency in the safety region. Based on the two-stage decision-making framework, the perspective of 'safety first' principle can be enforced by simultaneously considering the driving safety and energy efficiency. Finally, the experiment is conducted to demonstrate the advantages of the proposed method by comparing it with two other state-of-art methods.

Original languageEnglish
Pages (from-to)13859-13871
Number of pages13
JournalIEEE Transactions on Industrial Electronics
Volume69
Issue number12
DOIs
StatePublished - 1 Dec 2022

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • Autonomous vehicles
  • decision-making
  • driving safety
  • energy optimization
  • intelligent transportation system
  • vehicle-following driving

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