Performance Evaluation of New Energy Vehicles with Human-Machine Interaction in Intelligent Transportation Systems

  • Peng Zhang 1Tianjin University of Technology and Education, Tianjin 300222, China 2Hebi Polytechnic, Hebi 458000, China
  • Zhiwei Guan 1Tianjin University of Technology and Education, Tianjin 300222, China, Tianjin Sino-German University of Applied Sciences, Tianjin 300222, China
  • Jingjing Sun Hebi Polytechnic, Hebi 458000, China
Keywords: Energy vehicle, intelligent transport system, Human-machine interaction, Natural language processing, Voice-over interface

Abstract

An intelligent transport system is a sophisticated platform developed to provide new solutions related to transport administration, enabling people to be increasingly aware and make infrastructures secure, more synchronized, and more sophisticated utilization. Energy vehicles in intelligent transportation have additional positive benefits to society. However, handling mobility, connectivity, and communication infrastructure are significant challenges in integrating the energy vehicle in intelligent transport systems. This paper proposed an energy vehicle with a human interaction framework (EVHIF) to enhance the intelligent transportation system. The EVHIF provides human-machine interaction through a voice-over interface, and the natural language processing made the interface more flexible. The voice-over interaction framework adopts the advanced user interface, mobility problems and becomes more accessible. Static language program modifies the user voice interaction to the energy vehicles.

If correctly designed and executed, ITS can save a great deal of time, money, and even lives. ITS encompasses the information analysis and data transmission programs that enable the operation and maintenance of surface transportation modes to increase the safety and efficiency of conveying people and commodities. People, safety officers, and government also use its benefits.

Experimentation is done by focusing on the performance of EVHIF in an intelligent transportation system. Evaluation results prove that EVHIF is efficient at 98.56% and advisable for transportation systems with advanced interaction frameworks.

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Author Biographies

Peng Zhang, 1Tianjin University of Technology and Education, Tianjin 300222, China 2Hebi Polytechnic, Hebi 458000, China

Peng Zhang, born in August 1989, male, doctoral student. In July 2011, he majored in automotive maintenance engineering education from Tianjin University of Technology and Education and received a bachelor’s degree; in June 2018, he graduated from Tianjin University of Technology and Education with a master’s degree in mechanical engineering. He is currently a doctoral student in Mechanical Design and Manufacturing Education at Tianjin University of Technology and Education.

Zhiwei Guan, 1Tianjin University of Technology and Education, Tianjin 300222, China, Tianjin Sino-German University of Applied Sciences, Tianjin 300222, China

Zhiwei Guan, born in March 1970, male, professor, doctor of engineering. He is a doctoral supervisor at Tianjin University of Technology and Education, and is currently a professor at Tianjin Sino-German University of Applied Sciences, whose research direction is intelligent transportation technology.

Jingjing Sun, Hebi Polytechnic, Hebi 458000, China

Jingjing Sun, born in April 1986, female, lecturer. In July 2011, Tianjin University of Technology and Education majored in applied electronic technology education and received a bachelor’s degree. He is currently working in the School of Electronic Information Engineering, Hebi Polytechnic.

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Published
2022-02-04
Section
Sustainable Energy and Environment