Research Article

Can I Trust You? Estimation Models for e-Bikers Stop-Go Decision before Amber Light at Urban Intersection

Table 1

Definition of variables coded.

VariableDescriptionCoding value

GENMale0
Female1

AGEYoung-age group (<30)0
Middle-age group (30–50)1
Old-age group (>50)2

VTBicycle electric bike0
Scooter electric bike1

NA0 changes0
More than 2 changes1
1 change2

ASThe speed of e-bike when it approached intersection at the beginning of amber light.The real-time value

CCDThe distance of e-bike away from stop mark at the beginning of amber light.The real-time value

AGE: estimated age group. Using estimated age group could be effective to extract e-bikers’ individual information. The groups were divided into young-age riders (<30), middle-age riders (30–50), and old-age riders (>50) reported by Wu et al. [7]. VT: vehicle type. Bicycle e-bike can ride the pedal to provide power for going forward, while the scooter e-bike’s power is only provided by electromotor. NA: number of acceleration rate changes. The number of times that acceleration rate changes from positive to negative, or from negative to positive.