TY  - JOUR
PY  - 2023//
TI  - Investigation of the time spent in dangerous driving conditions: findings from the i-DREAMS project
JO  - Transportation research procedia
A1  - Kallidoni, Marianthi
A1  - Michelaraki, Eva
A1  - Katrakazas, Christos
A1  - Brijs, Tom
A1  - Yannis, George
SP  - 462
EP  - 469
VL  - 72
IS  - 
N2  - This paper investigates how much time is spent in three levels of a Safety Tolerance Zone (STZ) for driving speed. Towards that aim, a naturalistic driving experiment was conducted and data from a representative sample of 20 Belgian car drivers were analyzed. Two classification models (i.e., Conditional Inference Trees and Support Vector Machines) and two regression models (i.e. Support Vector Machine Regression) were utilized in order to successfully predict initially the STZ levels and then the time that drivers spent in each one. The results indicated that both classification models predict STZ levels with 92% accuracy, 96% specificity and 92% recall. Moreover, regression models could explain at least 81% of the variance, but further analysis is needed to minimize errors in duration prediction.<p />  <p>Language: en</p>
LA  - en
SN  - 2352-1465
UR  - http://dx.doi.org/10.1016/j.trpro.2023.11.428
ID  - ref1
ER  -