6 citations · 17 across the 5 of their papers we have counts for
5 papers
A Sequential Metamorphic Testing Framework for Understanding Automated Driving Systems
Quang-Hung Luu, Huai Liu, Tsong Yueh Chen +1
Automated driving systems (ADS) are expected to be reliable and robust against a wide range of driving scenarios. Their decisions, first and foremost, must be well understood. Unde…
Traffic4cast -- Large-scale Traffic Prediction using 3DResNet and Sparse-UNet
Bo Wang, Reza Mohajerpoor, Chen Cai +2
The IARAI competition Traffic4cast 2021 aims to predict short-term city-wide high-resolution traffic states given the static and dynamic traffic information obtained previously. Th…
A novel activity pattern generation incorporating deep learning for transport demand models
Danh T. Phan, Hai L. Vu
Activity generation plays an important role in activity-based demand modelling systems. While machine learning, especially deep learning, has been increasingly used for mode choice…
Boosted Genetic Algorithm using Machine Learning for traffic control optimization
Tuo Mao, Adriana-Simona Mihaita, Fang Chen +1
Traffic control optimization is a challenging task for various traffic centers around the world and the majority of existing approaches focus only on developing adaptive methods un…
Decentralized Signal Control for Urban Road Networks
Tung Le, Peter Kovacs, Neil Walton +3
We propose in this paper a decentralized traffic signal control policy for urban road networks. Our policy is an adaptation of a so-called BackPressure scheme which has been widely…