The autonomous vehicle innovation has a potential effect on traffic and it'sa widespread
issue in the academic municipal. Based on its feature, autonomous vehicle is expected to …

Recent developments in maintenance modelling fueled by data-based approaches such as
machine learning (ML), have enabled a broad range of applications. In the automotive …

Vehicle classification (VC) is an underlying approach in an intelligent transportation system
and is widely used in various applications like the monitoring of traffic flow, automated …

In this chapter, a survey of the current state of research on autonomous driving is given and
is set in the context of the requirements of an autonomous vehicle following the vision of an …

Agent-based models have gained wide acceptance in transportation planning because with
increasing computational power, large-scale people-centric mobility simulations are …

The future of the modern world faces the appearance of different ways of mobility. Huge
strive in today's world have gained autonomous vehicles. The paper explains how …

This paper will identify the application of various technologies that enable autonomous
vehicles and also explain the advantages and disadvantages associated with each …

The complexity of situations occurring at intersections is demanding on the cognitive abilities
of drivers. Advanced Driver Assistance Systems (ADAS) are intended to assist particularly in …

Fully automated driving vehicles represent a major innovation in the automotive industry
which will replacedriver tasks by software functions to make traffic more comfortable …

Architecture design is one of the most important problems for an intelligent system. In this
paper, a practical framework of hardware and software is proposed to reveal the external …