Spatiotemporal Traffic Density Estimation Based on ADAS Probe Data
This study aims to develop a spatiotemporal traffic density estimation method based on the advanced driver assistance system (ADAS) Probe data. This study uses the vehicle trajectory data collected from the ADAS equipped on the sample probe vehicles. Such vehicle trajectory data are used firstly to...
Saved in:
Main Authors: | Donghyun Lim, Younghoon Seo, Eunjeong Ko, Jaehyun(Jason) So, Hyungjoo Kim |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2022-01-01
|
Series: | Journal of Advanced Transportation |
Online Access: | http://dx.doi.org/10.1155/2022/5929725 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Introducing Autonomous Shuttle Services Based on Travel Patterns for the Elderly
by: Eunbi Kang, et al.
Published: (2023-01-01) -
Advanced Driver-Assistance System (ADAS) for Intelligent Transportation Based on the Recognition of Traffic Cones
by: Liyong Wang, et al.
Published: (2020-01-01) -
Investigating the Impacts of Road Traffic Conditions and Driver’s Characteristics on Automated Vehicle Takeover Time and Quality Using a Driving Simulator
by: Jaehyun Jason So, et al.
Published: (2021-01-01) -
Advanced Pedestrian Distance Estimation for ADAS with Canny Edge Detection and Stereo Vision
by: Rachidi Oumayma, et al.
Published: (2025-01-01) -
Reinforced AdaBoost Learning for Object Detection with Local Pattern Representations
by: Younghyun Lee, et al.
Published: (2013-01-01)