TY - GEN
T1 - Determinism in future cars
T2 - 2017 IEEE SmartWorld Ubiquitous Intelligence and Computing, Advanced and Trusted Computed, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People and Smart City Innovation, SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2017
AU - Kouchak, Shokoufeh Monjezi
AU - Gaffar, Ashraf
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2018/6/26
Y1 - 2018/6/26
N2 - In the last decade we started seeing a major paradigm shift in automotive industry as some safety challenge in vehicles could be improved by using autonomous vehicles. Designing autonomous trucks, due to special features in their operations could be easier than autonomous cars. The behavior of autonomous truck is more predictable, they work on specific routes according to predictable schedule and they can avoid traffic, problem areas, or at least optimize their driving schedule. This structured behavior follows a more deterministic approach of developing the vehicle, and hence could greatly simplify the implementation model from that of personal vehicles. Additionally, we could get better performance in domain of safety as autonomous driving software could be made to follow a more restricted driving approach. Unlike human truck drivers, autonomous trucks will not suffer from fatigue or illness, a contributing factor to truck-related accidents.
AB - In the last decade we started seeing a major paradigm shift in automotive industry as some safety challenge in vehicles could be improved by using autonomous vehicles. Designing autonomous trucks, due to special features in their operations could be easier than autonomous cars. The behavior of autonomous truck is more predictable, they work on specific routes according to predictable schedule and they can avoid traffic, problem areas, or at least optimize their driving schedule. This structured behavior follows a more deterministic approach of developing the vehicle, and hence could greatly simplify the implementation model from that of personal vehicles. Additionally, we could get better performance in domain of safety as autonomous driving software could be made to follow a more restricted driving approach. Unlike human truck drivers, autonomous trucks will not suffer from fatigue or illness, a contributing factor to truck-related accidents.
KW - artificial intelligence
KW - autonomous cars
KW - autonomous trucks
KW - future cars
UR - http://www.scopus.com/inward/record.url?scp=85050207799&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85050207799&partnerID=8YFLogxK
U2 - 10.1109/UIC-ATC.2017.8397598
DO - 10.1109/UIC-ATC.2017.8397598
M3 - Conference contribution
AN - SCOPUS:85050207799
T3 - 2017 IEEE SmartWorld Ubiquitous Intelligence and Computing, Advanced and Trusted Computed, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People and Smart City Innovation, SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2017 - Conference Proceedings
SP - 1
EP - 6
BT - 2017 IEEE SmartWorld Ubiquitous Intelligence and Computing, Advanced and Trusted Computed, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People and Smart City Innovation, SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2017 - Conference Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 4 April 2017 through 8 April 2017
ER -