TY  - JOUR
PY  - 2017//
TI  - A new car-following model considering driving characteristics and preceding vehicle's acceleration
JO  - Journal of advanced transportation
A1  - Zhang, Yong
A1  - Ni, Ping
A1  - Li, Minwei
A1  - Liu, Hao
A1  - Yin, Baocai
SP  - ID 2437539
EP  - ID 2437539
VL  - 2017
IS  - 
N2  - In the past decades, many improved car-following models based on the full velocity difference (FVD) model have been developed. But these models do not consider the acceleration of leading vehicle. Some of them consider individual anticipation behavior of drivers, but they either do not quantitatively determine the types of driving or artificially divide the driving types rather than deriving them from actual traffic data. In this paper, driver's driving styles are firstly categorized based on actual traffic data via data mining and clustering algorithm. Secondly, a new car-following model based on FVD model is developed, taking into account individual anticipation effects and the acceleration of leading vehicle. The effect of driving characteristics and leading vehicle's acceleration on car-following behavior is further analyzed via numerical simulation. The results show that considering the acceleration of preceding vehicle in the model improves the stability of traffic flow and different driving characteristics have different influence on the stability of traffic flow.<p />  <p>Language: en</p>
LA  - en
SN  - 0197-6729
UR  - http://dx.doi.org/10.1155/2017/2437539
ID  - ref1
ER  -