Vision-based traffic accident detection and anticipation: A survey

J Fang, J Qiao, J Xue, Z Li - … on Circuits and Systems for Video …, 2023 - ieeexplore.ieee.org
Traffic accident detection and anticipation is an obstinate road safety problem and
painstaking efforts have been devoted. With the rapid growth of video data, Vision-based …

Prediction of traffic incident duration using clustering-based ensemble learning method

H Zhao, W Gunardi, Y Liu, C Kiew… - … engineering, Part A …, 2022 - ascelibrary.org
Traffic incidents are a primary cause of traffic delays, which can cause severe economic
losses. Effective traffic incident management requires integrating intelligent traffic systems …

Transient-based automatic incident detection method for intelligent transport systems

AM Nagy, B Wiandt, V Simon - Infocommunications Journal, 2021 - real.mtak.hu
One of the major problems of traffic in big cities today is the occurrence of congestion
phenomena on the road network, which has several serious effects not only on the lives of …

Graph spatiotemporal pattern learning network for real-time road network traffic abnormal incident detection

H Li, Y Ma, X Wang, Z Li - Transportation research record, 2023 - journals.sagepub.com
To improve the efficiency of detecting abnormal traffic incidents on the road network and
reduce the false alarm rate, a real-time traffic anomaly detection framework based on a …

Improved two-layer stacking model for prediction of the level of delay caused by crashes: an empirical analysis of Texas

Z Wang, P Jiao, J Wang, W Luo, H Lu - Journal of transportation …, 2023 - ascelibrary.org
Road crashes cause significant traffic delay, which can bring unnecessary financial losses.
The objective of this study is to predict the level of delay caused by crashes (LDC) and …

MM-trafficEvent: An Interactive Incident Retrieval System for First-view Travel-log Data

MS Dao, DD Pham, MP Nguyen… - … Conference on Big …, 2021 - ieeexplore.ieee.org
Dashcam video has become popular recently due to the safety of both individuals and
communities. While an individual can have undeniable evidence for legal and insurance …

A cross-modal attention model for fine-grained incident retrieval from dashcam videos

DD Pham, MS Dao, TB Nguyen - International Conference on Multimedia …, 2023 - Springer
Dashcam video has become popular recently due to the safety of both individuals and
communities. While individuals can have undeniable evidence for legal and insurance …

[PDF][PDF] Distributed Systems and Algorithms in Smart Cities

AM Nagy - 2021 - medianets.hu
Nowadays, due to the urbanization processes, the big cities' road network became more
crowded. On the road network more and more traffic congestions can be observed, which …

[PDF][PDF] Elosztott rendszerek és algoritmusok okos városokban

NA Mátyás - medianets.hu
Az urbanizációs folyamatoknak és a világ népességének növekedése következtében a
nagyvárosok szerepe rendkıvül felértékelodött. Manapság a népesség dönto többsége …

[PDF][PDF] Urban Traffic Congestion Propagation Prediction Model: A case of non-recurrent congestion

R Ansari Esfe - 2021 - prism.ucalgary.ca
In this thesis, a novel congestion propagation prediction framework is presented. This
prediction framework can be used by navigation systems to mitigate congestion during …