A hybrid CEEMD-GMM scheme for enhancing the detection of traffic flow on highways
H Dou, Y Liu, S Chen, H Zhao, H Bilal - Soft Computing, 2023 - Springer
Many highways are acquiring smart transportation systems to improve traffic efficiency,
safety and management. Intelligent transportation systems can monitor traffic congestion by …
safety and management. Intelligent transportation systems can monitor traffic congestion by …
Factors affecting injury severity at pedestrian crossing locations with Rectangular RAPID Flashing Beacons (RRFB) using XGBoost and random parameters discrete …
This paper evaluates the effectiveness of Rectangular Rapid Flashing Beacons (RRFB) on
crash severity. The study used and compared XGBoost and Random Parameters Discrete …
crash severity. The study used and compared XGBoost and Random Parameters Discrete …
A temporal multi-gate mixture-of-experts approach for vehicle trajectory and driving intention prediction
R Yuan, M Abdel-Aty, Q Xiang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Accurate vehicle trajectory prediction is critical for autonomous vehicles and advanced
driver assistance systems to make driving decisions and improve traffic safety. This paper …
driver assistance systems to make driving decisions and improve traffic safety. This paper …
Effect of signal timing on vehicles' near misses at intersections
Driving characteristics often vary between the different states of the signal. During red and
yellow phase, drivers tend to speed up and reduce the following distance which in turn …
yellow phase, drivers tend to speed up and reduce the following distance which in turn …
Human arm motion prediction for collision avoidance in a shared workspace
Industry 4.0 transforms classical industrial systems into more human-centric and digitized
systems. Close human–robot collaboration is becoming more frequent, which means …
systems. Close human–robot collaboration is becoming more frequent, which means …
Intelligent forecasting and distribution in cross-border e-commerce import trade: A deep-learning-based iterative optimization approach
The dramatic growth of cross-border e-commerce (CBEC) trade promotes the vigorous
development of bonded warehouses, providing overseas suppliers with an opportunity to lay …
development of bonded warehouses, providing overseas suppliers with an opportunity to lay …
Parking occupancy prediction under COVID-19 anti-pandemic policies: A model based on a policy-aware temporal convolutional network
Real-time and reliable parking occupancy prediction is critical for managing transportation
infrastructure and services. However, the COVID-19 pandemic and its corresponding …
infrastructure and services. However, the COVID-19 pandemic and its corresponding …
A novel temporal multi-gate mixture-of-experts approach for vehicle trajectory and driving intention prediction
R Yuan, M Abdel-Aty, Q Xiang, Z Wang… - arXiv preprint arXiv …, 2023 - arxiv.org
Accurate Vehicle Trajectory Prediction is critical for automated vehicles and advanced driver
assistance systems. Vehicle trajectory prediction consists of two essential tasks, ie …
assistance systems. Vehicle trajectory prediction consists of two essential tasks, ie …
Modelling the relationship between post encroachment time and signal timings using UAV video data
Intersection safety often relies on the correct modelling of signal phasing and timing
parameters. A slight increase in yellow time or red time can have significant impact on the …
parameters. A slight increase in yellow time or red time can have significant impact on the …
Signal phasing and timing prediction using connected vehicle data
Signal phasing and timing can be adaptive and actuated in practice. This makes it
challenging to understand what the cycle length and phase duration of the next few cycles …
challenging to understand what the cycle length and phase duration of the next few cycles …