Urban Traffic Density Estimation from Vehicle-mounted Camera for Real-time Application-Reference-Cited by-同舟云学术

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Urban Traffic Density Estimation from Vehicle-mounted Camera for Real-time Application

Published:2023-02-20 Issue: Volume: Page:
ISSN:
Container-title:2023 International Conference on Artificial Intelligence in Information and Communication (ICAIIC)
language:
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Author:

Cho Haechan¹,Yoon Yeohwan²,Kim Jihu¹,Yeo Hwasoo¹

Affiliation:

1. Korea Advanced Institute of Science and Technology,Department of Civil and Environmental Engineering,Daejeon,Republic of Korea

2. Korea institute of civil engineering and building technology,Department of Highway and Transportation Research,Gyeonggi-do,Republic of Korea

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10066849/10066958/10066969.pdf?arnumber=10066969

Reference30 articles.

1. A data fusion approach for real-time traffic state estimation in urban signalized links

2. Efficiency-increasing driver assistance at signalized intersections using predictive traffic state estimation

3. Real-Time Prediction of Traffic Density with Deep Learning Using Computer Vision and Traffic Event Information

4. Implementing kinematic wave theory to reconstruct vehicle trajectories from fixed and probe sensor data

5. Macroscopic modeling of traffic in cities;geroliminis;Transportation Research Board,2007

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