A Hybrid Deep Learning Model for Link Dynamic Vehicle Count Forecasting with Bayesian Optimization
Author:
Affiliation:
1. College of Civil Engineering and Architecture, Zhejiang University, Hangzhou, China
2. School of Transportation and Logistics Engineering, Xinjiang Agricultural University, Urumqi, China
3. Shanghai AI Laboratory, Shanghai 200232, China
Abstract
Funder
National Natural Science Foundation of China
Publisher
Hindawi Limited
Subject
Strategy and Management,Computer Science Applications,Mechanical Engineering,Economics and Econometrics,Automotive Engineering
Link
http://downloads.hindawi.com/journals/jat/2023/5070504.pdf
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4. Real-time estimation of vehicle-count within signalized links
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