Data-driven AI algorithms for construction machinery

K Liang, J Zhao, Z Zhang, W Guan, M Pan… - Automation in …, 2024 - Elsevier
Based on the transition to Industry 4.0, construction operations are gradually moving
towards large-scale and high-efficiency development. However, excessive manual labor is …

Using traffic flow characteristics to predict real-time conflict risk: A novel method for trajectory data analysis

C Yuan, Y Li, H Huang, S Wang, Z Sun, Y Li - Analytic methods in accident …, 2022 - Elsevier
The real-time conflict prediction model using traffic flow characteristics is much less studied
than the crash-based model. This study aims at exploring the relationship between conflicts …

Evolution of prediction models for road surface irregularity: Trends, methods and future

Y Wu, Y Pang, X Zhu - Construction and Building Materials, 2024 - Elsevier
In the modern era, the importance of prioritizing traffic safety has become increasingly
evident, requiring dedicated focus. An effective strategy for improving traffic safety involves …

Traffic conflict prediction using connected vehicle data

Z Islam, M Abdel-Aty - Analytic methods in accident research, 2023 - Elsevier
Transportation safety studies have been mostly focused on using crash data that are rare
events. Alternatively, conflict estimation can be used to assess safety. This has been proven …

Application of explainable machine learning for real-time safety analysis toward a connected vehicle environment

C Yuan, Y Li, H Huang, S Wang, Z Sun… - Accident Analysis & …, 2022 - Elsevier
Due to the difficulty of obtaining traffic flow data and conflicts simultaneously, conflict-based
analysis using macroscopic traffic features is much less studied. This research aims to …

A multivariate method for evaluating safety from conflict extremes in real time

C Fu, T Sayed - Analytic methods in accident research, 2022 - Elsevier
Several studies have advocated the use of extreme value theory (EVT) traffic conflict models
for real-time crash risk prediction using real-time safety indices such as the risk of crash (RC) …

Transformer-based modeling of abnormal driving events for freeway crash risk evaluation

L Han, R Yu, C Wang, M Abdel-Aty - Transportation Research Part C …, 2024 - Elsevier
A crash risk evaluation model aims to estimate crash occurrence possibility by establishing
the relationships between traffic flow status and crash occurrence. Based upon which …

Accidentgpt: Accident analysis and prevention from v2x environmental perception with multi-modal large model

L Wang, Y Ren, H Jiang, P Cai, D Fu, T Wang… - arxiv preprint arxiv …, 2023 - arxiv.org
Traffic accidents, being a significant contributor to both human casualties and property
damage, have long been a focal point of research for many scholars in the field of traffic …

Bicycle safety outside the crosswalks: Investigating cyclists' risky street-crossing behavior and its relationship with built environment

H Bi, A Li, H Zhu, Z Ye - Journal of transport geography, 2023 - Elsevier
Most bicycle accidents are inextricably bound up with risky riding behaviors, which crossing
the street illegally at unprotected mid-block locations is nothing to sneeze at. Compared with …

A data-driven rule-based system for China's traffic accident prediction by considering the improvement of safety efficiency

FF Ye, LH Yang, YM Wang, H Lu - Computers & Industrial Engineering, 2023 - Elsevier
Rapid traffic development brings convenience to social circulation, but the number of
fatalities in traffic accidents has brought great pressure on traffic safety and social stability …