Abstract

Automotive manufacturers and suppliers develop new vehicle technologies to increase traffic safety and transportation efficiency. Autonomous and cooperative vehicle systems are crucial examples of such advanced technologies. The hustle to deploy these fascinating systems onto public roads increases as customer’s expectations rise. Networked driving simulation represents an effective virtual prototyping tool that can support the development, and hence, accelerate system deployment. In networked driving simulation, two or more human-driven virtual vehicles share the same environment and form a very close approximation of real-world traffic interactions. This emerged multi-interactive virtual environment can serve various applications related to the new vehicle technologies and the ever increasing traffic complexity. This paper introduces the promising applications of networked driving simulation and outlines the necessary system design requirements. In addition, the work presents an extensive literature review and evaluation of utilizations of networked driving simulation. Furthermore, three compelling systems of networked driving simulation are analyzed regarding their technical specifications and application scopes. The systems are compared and evaluated using the derived requirements. Finally, potential future work is revealed regarding the design of resilient networked driving simulation systems that can be tailored for possible changes of application requirements.

Highlights

  • Road safety, transportation efficiency, and driving comfort are significant concerns in the automotive realm

  • This paper introduces the potential scientific applications of networked driving simulation

  • This work addressed the utilization of networked driving simulation for different scientific determine the necessary fidelity leve

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Summary

Introduction

Transportation efficiency, and driving comfort are significant concerns in the automotive realm. Automobile manufacturers and suppliers develop new vehicle systems to support drivers in critical traffic situations, improve traffic flow efficiency, and reduce the driving stress. Driving simulation provides a safe development, testing, and training environment that does not subject drivers or road users to hazards [2]. In the era of autonomous and cooperative vehicle technologies, systems are becoming more complex and interactive, while the influence of human drivers still represents a significant factor. Conventional driving simulation lacks the realism required to reflect the multi-interactivity nature associated with the advanced automotive technologies and future traffic environments. It provides only a rough unpredictability level of that which is typically encountered, Designs 2017, 1, 4; doi:10.3390/designs1010004 www.mdpi.com/journal/designs

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