Research and Simulation of Multi-objective Optimization of Urban Rail Train Automatic Driving System
The automatic driving system serves as the central component for efficiently managing the operation of urban rail trains, enabling train control through algorithmic means. Evolutionary algorithms are commonly employed to optimize control strategies for autonomous driving systems. This paper presents...
Published in: | Lecture Notes in Electrical Engineering |
---|---|
Main Author: | Lv C.; Liu D.; Li K.; Wang X. |
Format: | Conference paper |
Language: | English |
Published: |
Springer Science and Business Media Deutschland GmbH
2024
|
Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85185709935&doi=10.1007%2f978-981-99-9311-6_65&partnerID=40&md5=99156b62adc85cffc5f7fd202ff3e1e8 |
Similar Items
-
Enhancing The CBTC System in Urban Rail Transit
by: Ngadiron Z.; Bachok S.; Kamaluddin N.A.
Published: (2024) -
PREDICTION OF FATIGUE IN RAIL PAD USING SIMULATION
by: Amran, et al.
Published: (2024) -
PREDICTION OF FATIGUE IN RAIL PAD USING SIMULATION
by: Amran M.F.A.; Abdul Wahab A.M.; Adull Manan N.F.; Manurung Y.H.
Published: (2024) -
Multi-Modal Fusion for Multi-Task Fuzzy Detection of Rail Anomalies
by: Liyuan Y.; Osman G.; Abdul Rahman S.; Mustapha M.F.
Published: (2024) -
Prevention Cost Components Priorities for Urban Rail Infrastructure Projects
by: Kamar I.F.M.; Ahmad A.C.; Derus M.M.
Published: (2022)