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

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.