Video
Embedded Files
Overview
Enhancing Tram Safety with Autonomous Driving Technology
Catenary-free trams use magnetic markers for simple, precise, low-cost guidance.
Mixed traffic with cars, bikes, and pedestrians increases accident risk.
As tram adoption expands, safety is the top priority.
Sensors, V2X, and smart control enable safer, more reliable operation.
Core Competencies
Purpose
The tram ensures safe and reliable operation by applying autonomous driving technology that integrates sensors, V2X communication, and intelligent control.
Application of YOLOvX AI Algorithm
Application of YOLOvX AI Algorithm
Detection of pedestrians and vehicles in front of the tram
V2X Communication-Based Signal Coordination
V2X Communication-Based Signal Coordination
Tram signal interconnection for compliant driving at intersections
ROI (Region of Interest) Analysis
ROI (Region of Interest) Analysis
Object comparison and collision risk assessment
Vector Map and V2X-Based Collision Risk Evaluation
Vector Map and V2X-Based Collision Risk Evaluation
Computation of optimal target speed and trajectory
Target Speed Tracking and Stop Line Control
Target Speed Tracking and Stop Line Control
Vehicle control to stop precisely before collision-risk objects
Expected Benefits
Reduction of tram accident rate by over 80% and operating costs by 50%.
Decreased reliance on foreign technologies through localization of autonomous driving technology.
Securing competitiveness in the global catenary-free tram autonomous driving market.
Certifications
KOLAS-Certified Test Report (General) – Autonomous Driving Level 3
Forward/side object detection, cruise control, emergency braking,
minimum-risk maneuvering, V2X communication, precise stop for charging position
TRL 7
Testing at Osong Integrated Test Line
Contact
Korea Railroad Research Institute (KRRI)
Global Business Department
Dr. HyeonChyeol Hwang
E-mail: hchwang@krri.re.kr
Page updated
Google Sites
Report abuse