Analysis of User Predictions for Connected and Autonomous Vehicles in Developing Countries

Analysis of User Predictions for Connected and Autonomous Vehicles in Developing Countries

Yetis Sazi Murat, Ziya Cakici
Copyright: © 2023 |Pages: 22
DOI: 10.4018/978-1-6684-7791-5.ch011
OnDemand:
(Individual Chapters)
Available
$37.50
Current Special Offers
No Current Special Offers
TOTAL SAVINGS: $37.50

Abstract

Connected and autonomous vehicle technology is a prominent topic in today's discussions and holds great significance for the near future. While there is generally a positive outlook on autonomous vehicles across various levels, it is evident that users have diverse predictions and expectations. This chapter delves into the perspectives and expectations of users regarding autonomous vehicles, particularly in relation to traffic management and safety. A web-based survey was conducted, posing a total of 22 questions to users, encompassing their evaluations of autonomous vehicle technology, traffic safety, traffic management, and other related factors. These questions explored user concerns regarding different vehicle types and the anticipated benefits of autonomous vehicles. The survey study gathered insights from 508 participants. The findings revealed that while some users believe autonomous vehicles can enhance traffic management, they still have concerns about traffic safety.
Chapter Preview
Top

Introduction

Autonomous or driverless vehicles can be described as the next generation of transportation that can perceive their surroundings and operate with minimal or no human intervention. Currently, numerous automobile manufacturers and prominent companies in the electronics and IT industry are actively developing self-driving cars. The introduction of autonomous driving features in vehicles has sparked intense discussions regarding the potential, benefits, and risks associated with this technology for both humans and the environment. It is expected that vehicles equipped with driver assistance features, and even fully autonomous vehicles (AVs) for passenger and goods transportation, will play an increasingly significant role in everyday traffic. True self-driving cars are those in which artificial intelligence independently controls the vehicle without any human intervention during the driving task. The National Highway Transportation Safety Association (NHTSA) has established a standard for autonomous vehicles, ranging from level 0 to level 5. Level “0” denotes vehicles without any automation, while level “5” represents a fully autonomous car. Definitions of these driving levels are described in Table 1.

Table 1.
Definitions of levels for autonomous driving (NHTSA,2013)
Level ClassDefinition
Level 0Most vehicles currently in use are at this level. Driving automation is not available. It is controlled manually. Although systems are available to assist the driver, the human performs the “dynamic driving task”.
Level 1It can be defined as the lowest level of automation. This level includes partial driver assistance. The vehicle has a single automatic system for driver assistance, such as steering or cruise control. Adaptive cruise control, in which the vehicle can be kept at a safe following distance, is referred to as Level 1.
Level 2At this level, there is partial drive automation. The vehicle can automatically control both steering and acceleration/deceleration. It is possible for the driver to interfere with the control of the vehicle.
Level 3Vehicles at this level, defined as conditional driving automation, have “environmental sensing” capabilities and can make decisions such as accelerating when passing a slow-moving vehicle. However, in case of danger, the driver can take control.
Level 4Level 4 is defined as high-driving automation. Vehicles of this level have the ability to intervene automatically in case of danger or a system failure. In this sense, these tools do not require human interaction in most cases. However, a human still has the option to override it manually. Tier 4 vehicles can run in self-driving mode.
Level 5There is no human intervention in Level 5 vehicles, which are defined as full driving automation. It has the characteristics of an experienced driver. Equipment such as steering, acceleration, and braking pedals are not available. It is still in the testing phase.

Complete Chapter List

Search this Book:
Reset