RT Book, Section
T1 Traffic data analysis and route planning
A1 Osaba, Eneko
A1 Laña, Ibai
A1 Del Ser, Javier
AB The introduction of autonomous vehicles in the transportation ecosystem will lead to the emergence of new opportunities and challenges. Almost all aspects involved in transportation will be affected once autonomous driving is fully established in our daily life. This fact will raise the need of adaptation into many mechanisms to this incipient paradigm. In this study, we focus on two specific off-board aspects which also should be accommodated to this new environment: route planning and traffic prediction. Thus, this study is devoted to providing an overview on these two research fields, making a special emphasis on recent works related to autonomous driving. An equally valuable is the ending of our study, in which we share our envisioned status of this area. To do that, we identify some important challenges and upcoming opportunities which should stimulate research efforts in the next years.
PB Elsevier
SN 9780323985499
SN 9780323983396
YR 2023
FD 2023-01-01
LK https://hdl.handle.net/11556/2448
UL https://hdl.handle.net/11556/2448
LA eng
NO Osaba , E , Laña , I & Del Ser , J 2023 , Traffic data analysis and route planning . in Decision-Making Techniques for Autonomous Vehicles . Elsevier , pp. 217-243 . https://doi.org/10.1016/B978-0-323-98339-6.00008-7
NO Publisher Copyright: © 2023 Elsevier Inc. All rights reserved.
DS TECNALIA Publications
RD 28 jul 2024