Research on driverless car impact on energy and public safety

As urbanization progresses, cities are increasingly confronted with challenges such as escalating energy consumption, severe traffic congestion, and deteriorating air quality. Highly automated autonomous vehicles (Levels 4 and 5) have the potential to mitigate these issues by enhancing energy efficiency and improving traffic safety through optimized driving routes and speeds. However, the extensive deployment of these technologies also presents significant social challenges, including potential job displacement for drivers and a range of legal and ethical concerns. This study aims to critically evaluate the impact of autonomous driving technology on energy efficiency and social safety. It will investigate how these vehicles contribute to energy optimization by minimizing unnecessary variations in speed and delays, while also addressing potential negative consequences, such as increased social inequality and employment impacts. Furthermore, the study will examine the risks associated with social safety, including cybersecurity threats and ethical issues. By analyzing existing research and data, this study seeks to predict the impact of autonomous driving technology on future society, provide guidance for policymaking, and raise awareness of the potential issues associated with autonomous vehicles.

Authors

Institutions

Publication Details

Journal
Highlights in Science Engineering and Technology
Published
2024-12-24
DOI
https://doi.org/10.54097/x1570457
Primary Topic
Autonomous Vehicle Technology and Safety
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Research on driverless car impact on energy and public safety

Yiyang Chen
Highlights in Science Engineering and Technology
Autonomous Vehicle Technology and Safety
article

Research on driverless car impact on energy and public safety

Yiyang Chen
article en

Abstract

As urbanization progresses, cities are increasingly confronted with challenges such as escalating energy consumption, severe traffic congestion, and deteriorating air quality. Highly automated autonomous vehicles (Levels 4 and 5) have the potential to mitigate these issues by enhancing energy efficiency and improving traffic safety through optimized driving routes and speeds. However, the extensive deployment of these technologies also presents significant social challenges, including potential job displacement for drivers and a range of legal and ethical concerns. This study aims to critically evaluate the impact of autonomous driving technology on energy efficiency and social safety. It will investigate how these vehicles contribute to energy optimization by minimizing unnecessary variations in speed and delays, while also addressing potential negative consequences, such as increased social inequality and employment impacts. Furthermore, the study will examine the risks associated with social safety, including cybersecurity threats and ethical issues. By analyzing existing research and data, this study seeks to predict the impact of autonomous driving technology on future society, provide guidance for policymaking, and raise awareness of the potential issues associated with autonomous vehicles.

Highlights in Science Engineering and TechnologyVol. 121
Hebei University of Engineering (CN), Handan College (CN)
Openalex Percentile: Top 74%
Autonomous Vehicle Technology and Safety
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Research on driverless car impact on energy and public safety — Yiyang Chen · Highlights in Science Engineering and Technology (2024) | TGRS Research Map | TGRS