| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
A generalized driving risk assessment on high-speed highways using field theory
|
Joo, Yang-Jun
|
|
|
40 |
C |
p.
|
artikel
|
| 2 |
An analysis of day and night bicyclist injury severities in vehicle/bicycle crashes: A comparison of unconstrained and partially constrained temporal modeling approaches
|
Alnawmasi, Nawaf
|
|
|
40 |
C |
p.
|
artikel
|
| 3 |
Dynamic Bayesian hierarchical peak over threshold modeling for real-time crash-risk estimation from conflict extremes
|
Fu, Chuanyun
|
|
|
40 |
C |
p.
|
artikel
|
| 4 |
Editorial Board
|
|
|
|
40 |
C |
p.
|
artikel
|
| 5 |
Effects of design consistency measures and roadside hazard types on run-off-road crash severity: Application of random parameters hierarchical ordered probit model
|
Azmeri Khan, Shinthia
|
|
|
40 |
C |
p.
|
artikel
|
| 6 |
Exploring variations and temporal instability of factors affecting driver injury severities between different vehicle impact locations under adverse road surface conditions
|
Ren, Qiaoqiao
|
|
|
40 |
C |
p.
|
artikel
|
| 7 |
How heterogeneity has been examined in transportation safety analysis: A review of latent class modeling applications
|
Kim, Sung Hoo
|
|
|
40 |
C |
p.
|
artikel
|
| 8 |
Modelling speed reduction behaviour on variable speed limit-controlled highways considering surrounding traffic pressure: A random parameters duration modelling approach
|
Ali, Yasir
|
|
|
40 |
C |
p.
|
artikel
|
| 9 |
Modelling the continuum of serious traffic injuries in police-hospital linked data by applying the random parameters hazard-based duration model
|
Alzaffin, Khalid
|
|
|
40 |
C |
p.
|
artikel
|
| 10 |
Real-time crash risk forecasting using Artificial-Intelligence based video analytics: A unified framework of generalised extreme value theory and autoregressive integrated moving average model
|
Hussain, Fizza
|
|
|
40 |
C |
p.
|
artikel
|
| 11 |
Real-time crash risk prediction in freeway tunnels considering features interaction and unobserved heterogeneity: A two-stage deep learning modeling framework
|
Jin, Jieling
|
|
|
40 |
C |
p.
|
artikel
|
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