[PDF][PDF] A comprehensive study of speed prediction in transportation system: From vehicle to traffic

Z Zhou, Z Yang, Y Zhang, Y Huang, H Chen, Z Yu - Iscience, 2022 - cell.com
In the intelligent transportation system (ITS), speed prediction plays a significant role in
supporting vehicle routing and traffic guidance. Recently, a considerable amount of research …

Short-term traffic flow prediction for urban road sections based on time series analysis and LSTM_BILSTM method

C Ma, G Dai, J Zhou - IEEE Transactions on Intelligent …, 2021 - ieeexplore.ieee.org
The real-time performance and accuracy of traffic flow prediction directly affect the efficiency
of traffic flow guidance systems, and traffic flow prediction is a hotspot in the field of …

Traffic prediction using multifaceted techniques: A survey

S George, AK Santra - Wireless Personal Communications, 2020 - Springer
Road transportation is the largest and complex nonlinear entity of the traffic management
system. Accurate prediction of traffic-related information is necessary for an effective …

Accurate prediction scheme of water quality in smart mariculture with deep Bi-S-SRU learning network

J Liu, C Yu, Z Hu, Y Zhao, Y Bai, M Xie, J Luo - IEEE Access, 2020 - ieeexplore.ieee.org
In the smart mariculture, the timely and accurate predictions of water quality can help
farmers take countermeasures before the ecological environment deteriorates seriously …

Truck traffic flow prediction based on LSTM and GRU methods with sampled GPS data

S Wang, J Zhao, C Shao, C Dong, C Yin - Ieee Access, 2020 - ieeexplore.ieee.org
Given the enormous traffic issues, such as congestion and crashes, resulting from the
conflicts between trucks and passenger cars, an accurate and reliable prediction of truck …

Short-term traffic prediction with deep neural networks: A survey

K Lee, M Eo, E Jung, Y Yoon, W Rhee - IEEE Access, 2021 - ieeexplore.ieee.org
In modern transportation systems, an enormous amount of traffic data is generated every
day. This has led to rapid progress in short-term traffic prediction (STTP), in which deep …

On the possibility of short-term traffic prediction during disaster with machine learning approaches: An exploratory analysis

M Chikaraishi, P Garg, V Varghese, K Yoshizoe… - Transport Policy, 2020 - Elsevier
Since the cost and time required to finetune parameters in traditional short-term traffic
prediction models such as traffic simulators are very high, the prediction models have been …

A unified modeling framework for lane change intention recognition and vehicle status prediction

R Yuan, M Abdel-Aty, X Gu, O Zheng… - Physica A: Statistical …, 2023 - Elsevier
Accurately detecting and predicting Lane Change (LC) processes of human-driven vehicles
can help autonomous vehicles better understand their surrounding environment, recognize …

A Unified Approach to Lane Change Intention Recognition and Driving Status Prediction through TCN-LSTM and Multi-Task Learning Models

R Yuan, M Abdel-Aty, X Gu, O Zheng… - arXiv preprint arXiv …, 2023 - arxiv.org
Lane change (LC) is a continuous and complex operation process. Accurately detecting and
predicting LC processes can help traffic participants better understand their surrounding …

[HTML][HTML] Highway speed prediction using gated recurrent unit neural networks

MH Jeong, TY Lee, SB Jeon, M Youm - Applied Sciences, 2021 - mdpi.com
Movement analytics and mobility insights play a crucial role in urban planning and
transportation management. The plethora of mobility data sources, such as GPS trajectories …