Abstract
Jing Gan, Dapeng Zhang, Hui Bi, Xu Qu, Bin Ran
Abstract
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A hazard-based duration model to quantify the impact of connected driving environment on safety during mandatory lane-changing
10.1016/j.trc.2019.07.015 · 2019
Safety in vehicle platooning: A systematic literature review
10.1109/tits.2016.2598873 · 2017
STAG: A novel interaction-aware path prediction method based on spatio-temporal attention graphs for connected automated vehicles
10.1016/j.adhoc.2022.103021 · 2023
Random forests
10.1023/a:1010933404324 · 2001
Exploring novel surrogate safety indicators measuring conflict riskiness and severity: A case study in Sacramento, United States
10.1016/j.aap.2026.108400 · 2026
10.1145/2939672.2939785
10.1145/2939672.2939785
Advancing urban traffic accident forecasting through sparse spatio-temporal dynamic learning
10.1016/j.aap.2024.107564 · 2024
Safety-oriented automated vehicle longitudinal control considering both stability and damping behavior
10.1016/j.aap.2024.107486 · 2024
Unresolved referenced work
2016
Iterative learning control for lane-changing trajectories upstream off-ramp bottlenecks and safety evaluation
10.1016/j.aap.2023.106970 · 2023
Appraising machine and deep learning techniques for traffic conflict prediction with class imbalance
10.1007/s42421-023-00067-w · 2023
A freeway traffic flow prediction model based on a generalized dynamic spatio-temporal graph convolutional network
2024
A novel voronoi-based spatio-temporal graph convolutional network for traffic crash prediction considering geographical spatial distributions
10.1109/tits.2024.3452275 · 2024
Available sight distance on existing highways: Meeting stopping sight distance requirements of an aging population
10.1016/j.aap.2018.01.001 · 2018
Traffic incident duration prediction: A systematic review of techniques
10.1155/atr/3748345 · 2024
Safety evaluation of unsignalized intersection with heterogeneous traffic using post encroachment time and conflicting vehicle speed
2022
Modeling conflict risk with real-time traffic data for road safety assessment: A copula-based joint approach
2022
Traffic conflict prediction using connected vehicle data
2023
Sensitivity analyses of stopping distance for connected vehicles at active highway-rail grade crossings
2017
Traffic violation modeling using K-means clustering method: A case study in Bandung, Indonesia
2024
Dynamic and interpretable hazard-based models of traffic incident durations
10.3389/ffutr.2021.669015 · 2021
Framework to identify vehicle platoons under heterogeneous traffic conditions on urban roads
2024
A simulation study of predicting real-time conflict-prone traffic conditions
10.1109/tits.2017.2769158 · 2017
Lightgbm: A highly efficient gradient boosting decision tree
2017
Vehicle group identification and evolutionary analysis using vehicle trajectory data
10.1016/j.physa.2024.129656 · 2024
Real-time crash risk prediction on arterials based on LSTM-CNN
10.1016/j.aap.2019.105371 · 2020
Vehicular speed prediction method for highway scenarios based on spatio-temporal graph convolutional networks and potential field theory
10.1109/jiot.2024.3479221 · 2024
Gauging road safety advances using a hybrid EWM–PROMETHEE II–dbscan model with machine learning
2024
An integrated approach of machine learning and Bayesian spatial Poisson model for large-scale real-time traffic conflict prediction
10.1016/j.aap.2023.107286 · 2023
A dynamic control method for cavs platoon based on the MPC framework and safety potential field model
10.1007/s12205-021-1585-5 · 2021
Risk perception and the warning strategy based on safety potential field theory
10.1016/j.aap.2020.105805 · 2020
A novel lane-changing model of connected and automated vehicles: Using the safety potential field theory
10.1016/j.physa.2020.125039 · 2020
Longitudinal car-following control strategy integrating predictive collision risk
10.1016/j.apm.2023.04.010 · 2023
GraphSAGE-based traffic speed forecasting for segment network with sparse data
10.1109/tits.2020.3026025 · 2020
Safety-critical and flexible cooperative on-ramp merging control of connected and automated vehicles in mixed traffic
10.1109/tits.2022.3224592 · 2023
Quantitative indicator of homeostatic risk perception in car following
10.1016/j.ssci.2012.05.007 · 2012
A car-following model based on quantified homeostatic risk perception
10.1155/2013/408756 · 2013
The traffic accident hotspot prediction: Based on the logistic regression method
2015
Vehicle trajectory prediction in connected environments via heterogeneous context-aware graph convolutional networks
10.1109/tits.2022.3173944 · 2022
Multi-vehicle interactive lane-changing velocity change model based on potential energy field
10.1177/03611981221092383 · 2022
Vehicle-group-based crash risk prediction and interpretation on highways
10.1109/tits.2025.3556543 · doi-reference
Multi-vehicle interaction safety of connected automated vehicles in merging area: A real-time risk assessment approach
10.1016/j.aap.2021.106546 · doi-reference
Vehicle platooning with non-ideal communication networks
10.1109/tvt.2020.3046165 · doi-reference
Multi-modal fusion technology based on vehicle information: A survey
10.1109/tiv.2023.3268051 · doi-reference
A study on lane-changing risk evolution of vehicle group based on potential field model in the freeway tunnel approach section
10.1080/15389588.2024.2390086 · doi-reference
Deep spatio-temporal graph convolutional network for traffic accident prediction
10.1016/j.neucom.2020.09.043 · doi-reference
Analysis of the impact of maximum platoon size of CAVs on mixed traffic flow : An analytical and simulation method
10.1016/j.trc.2022.103989 · doi-reference
A two-dimensional surrogate safety measure based on fuzzy logic model
10.1016/j.aap.2024.107529 · doi-reference
An exploration of active safety technologies for commercial vehicles: Research on on-road driving risk identification based on alarm and other multi-source data
10.1016/j.aap.2026.108543 · doi-reference
A grouping-based cooperative driving strategy for CAVs merging problems
10.1109/tvt.2019.2910987 · doi-reference
Quantifying the safety effects of left-turn signal control mode: A heterogeneous causal inference framework
10.1016/j.aap.2026.108549 · doi-reference
A comprehensive survey on graph neural networks
10.1109/tnnls.2020.2978386 · doi-reference
A review of vehicle group intelligence in a connected environment
10.1109/tiv.2023.3321891 · doi-reference
A review of surrogate safety measures and their applications in connected and automated vehicles safety modeling
10.1016/j.aap.2021.106157 · doi-reference
DualRisk: A two-branch model for sparse traffic accident risk forecasting
10.1109/tits.2024.3472754 · doi-reference
A comparison of headway and time to collision as safety indicators
10.1016/s0001-4575(02)00022-2 · doi-reference
Multimodal learning for traffic risk prediction: Combining aerial imagery with contextual data
10.1109/ojits.2025.3574866 · doi-reference
Development of a framework for risky driving scenario identification, individual risk assessment, and group risk differences estimation using naturalistic driving data from the i-DREAMS project
10.1016/j.aap.2025.107993 · doi-reference
From prediction to prevention: Safety modeling of driver takeover time with mental workload, risk perception, and driving style in ramp scenarios
10.1016/j.aap.2026.108565 · doi-reference
Adaptive forward collision warning system for hazmat truck drivers: Considering differential driving behavior and risk levels
10.1016/j.aap.2023.107221 · doi-reference
Network-wide safety impacts of dedicated lanes for connected and autonomous vehicles
10.1016/j.aap.2023.107424 · doi-reference
Collision risk identification and prediction considering heterogeneous braking patterns using large-scale pre-collision trajectories
10.1016/j.aap.2025.108312 · doi-reference
A nonlinear car-following controller design inspired by human-driving behaviors to increase comfort and enhance safety
10.1109/tvt.2022.3175746 · doi-reference
Spatial temporal incidence dynamic graph neural networks for traffic flow forecasting
10.1016/j.ins.2020.01.043 · doi-reference
Multi-agent trajectory prediction with heterogeneous edge-enhanced graph attention network
10.1109/tits.2022.3146300 · doi-reference
Extended time-to-collision measures for road traffic safety assessment
10.1016/s0001-4575(00)00019-1 · doi-reference
Evaluation of rear-end crash risk at work zone using work zone traffic data
10.1016/j.aap.2011.01.011 · doi-reference
Application of proximal surrogate indicators for safety evaluation: A review of recent developments and research needs
10.1016/j.iatssr.2017.02.001 · doi-reference
MAGIC dataset: Multiple conditions unmanned aerial vehicle group-based high-fidelity comprehensive vehicle trajectory dataset
10.1177/03611981211070549 · doi-reference