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[HTML][HTML] Review and assessment of different perspectives of vehicle-pedestrian conflicts and crashes: Passive and active analysis approaches
The importance of investigating pedestrian safety has been evaluated repeatedly in safety
studies. The present study attempts to evaluate the various methods used by previous …
studies. The present study attempts to evaluate the various methods used by previous …
Macro-level literature analysis on pedestrian safety: Bibliometric overview, conceptual frames, and trends
Due to the high volume of documents in the pedestrian safety field, the current study
conducts a systematic bibliometric analysis on the researches published before October 3 …
conducts a systematic bibliometric analysis on the researches published before October 3 …
A Bayesian generalised extreme value model to estimate real-time pedestrian crash risks at signalised intersections using artificial intelligence-based video analytics
Pedestrians represent a vulnerable road user group at signalised intersections. As such,
properly estimating pedestrian crash risk at discrete short intervals is important for real-time …
properly estimating pedestrian crash risk at discrete short intervals is important for real-time …
[HTML][HTML] Revisiting the hybrid approach of anomaly detection and extreme value theory for estimating pedestrian crashes using traffic conflicts obtained from artificial …
Pedestrians represent a group of vulnerable road users who are at a higher risk of
sustaining severe injuries than other road users. As such, proactively assessing pedestrian …
sustaining severe injuries than other road users. As such, proactively assessing pedestrian …
Collision avoidance motion planning for connected and automated vehicle platoon merging and splitting with a hybrid automaton architecture
Connected and automated vehicle (CAV) platooning exhibits significant potential in
enhancing traffic efficiency and sustainability. In unsteady traffic conditions, CAV platoons …
enhancing traffic efficiency and sustainability. In unsteady traffic conditions, CAV platoons …
Bayesian hybrid gamma-GPD model for extreme traffic conflict threshold determination in the peak over threshold approach
Extreme value theory (EVT) models have been frequently utilized to estimate crash risk from
traffic conflicts with the peak over threshold commonly used to identify conflict extremes …
traffic conflicts with the peak over threshold commonly used to identify conflict extremes …
Evaluating the safety of autonomous vehicle–pedestrian interactions: An extreme value theory approach
With the increasing advancements in autonomous vehicle (AV) technologies, the forecasts
of AV market shares seem to follow an ever-growing trend. This leads to the inherent need …
of AV market shares seem to follow an ever-growing trend. This leads to the inherent need …
Modeling pedestrian behavior in pedestrian-vehicle near misses: A continuous Gaussian Process Inverse Reinforcement Learning (GP-IRL) approach
Using simulation models to conduct safety assessments can have several advantages as it
enables the evaluation of the safety of various design and traffic management options before …
enables the evaluation of the safety of various design and traffic management options before …
A deep generative approach for crash frequency model with heterogeneous imbalanced data
Crash frequency model is often subject to excessive zero observation because of the rare
nature of crashes. To address the problem of imbalanced crash data, a deep generative …
nature of crashes. To address the problem of imbalanced crash data, a deep generative …
Pedestrian crash risk analysis using extreme value models: New insights and evidence
Facilitating proactive pedestrian safety management, the application of extreme value theory
(EVT) models has gained popularity due to its extrapolation capabilities of estimating …
(EVT) models has gained popularity due to its extrapolation capabilities of estimating …