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July 5, 2026International Journal of Cloud Computing0 citations

Internet of Vehicles-Based Intelligent Trajectory Planning for Autonomous Vehicle Lane Changing

TTTing TanSWShulong WuYMYulin Ma

Key Points

  • This research aims to improve lane changing safety and efficiency for autonomous vehicles using intelligent trajectory planning.
  • Developed an intelligent trajectory planning algorithm based on the Internet of Vehicles framework.
  • Simulated various lane changing scenarios to test the algorithm's performance in real-time traffic conditions.
  • Evaluated safety and efficiency outcomes based on predefined metrics.
  • The intelligent algorithm improved lane changing efficiency by 30% compared to traditional methods.
  • Safety incidents during lane changing decreased by 25% with the new approach.
  • Traffic flow improved significantly, reducing overall travel time by 20% in simulations.

Abstract

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

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Cite This Study

Tan et al. (2026) studied this question.

synapsesocial.com/papers/6a49f411f5d1d45b287ffbf5https://doi.org/10.1504/ijcc.2027.10079570
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