Abstract

The transportation industries forecast that by 2050 more than 50% of vehicles on the road will be autonomous vehicles, and automotive services will dynamically support all vehicles. All of them will be serviced using the latest technology, which includes the Software Defined Network (SDN) and available new generations (5G+ or 6G) at the time. Although many transportation services and rapid facilities are achievable dynamically, transportation services with automation and intelligent actions are still not mature because the legacy of transport services cannot be corporate with the 5G+. These expected problems can be improved through the following possible and manageable approaches: flexible framework of 5G automotive services from the legacy systems, designing energy-efficient and intelligent infrastructures with SDN, and managing security solutions that evolve with the emerging technology. An efficient model (flexible framework) is proposed to secure smart transportation services with a secure and intelligent connected system and security solutions based on the 5G concept. Although 5G is considered in this framework, the method and steps of design and solution phases will be adaptable to the 5G+ framework. Furthermore, the basic properties of SDN allowed us to design a novel approach for measuring data traffic related to transport services and transport management, such as the priority of the transportation services. With the emergence of 5G+ capabilities, transportation services expect more challenges through future user requirements, including dynamic security solutions, minimum latency, maximum energy efficiency (EE), etc. Future automotive services depend on many sensors and their messages received through secure communication systems with 5G+ capabilities. As a result, this theoretical model will prove that 5G capabilities provide security facilities, better latency, and EE within the transportation system. Moreover, this model can be extendable to improve the 5G+ transportation services.

Highlights

  • Priority users (Pu ), load users (Lu ), energy users (Eu ) and security users (Su ) are examples of the management issues considered in the transportation system

  • In this improvement, emerging technology such as Software-Defined Networking (SDN) plays an important role in the transportation system’s 5G-based infrastructure, which relies on evolving user requirements such as latency and EE

  • Energy-efficient framework, data traffic measurements influenced to transportation services, and management of transportation services are considered

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Summary

Introduction

Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations. Users’ expectations of 5G and 5G+ are manifold, but the availability of the network is still delayed by heavy data traffic. This expectation depends on the channel capacity and transmission rate, which are some of the 5G requirements. We considered integrating the connected and intelligent approach to security solutions as a new feature. We may add the instance viral monitoring system configured through the connected and intelligent system, including Cooperative Intelligent Transport Systems (C-ITS) This will guarantee the users’ safety and security dynamically while users are traveling.

Literature Review and Related Work
Transportation
Existing Transportation Services with SDN
Network Traffic Issues with SDN Based IoT
Ways of Network Traffic Measurement
Intelligent Approach to Secure Solutions
A Proposed Framework
Modeling Framework for Self-Driving
Provided
Functionalities of the Framework
Traffic Measurement with SDN
Measurements with Network Parameters
Generic Measurements of the Framework
Traffic Prediction
Transport Management with SDN
Traffic Load
Energy-Saving Based on Traffic
Security Based on Traffic
Intelligent Security Solutions
Solutions
Findings
Conclusions and Future Work
Full Text
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