When the vehicles were following in the merging area of freeway, they would be affected by the behavior of other vehicles, such as acceleration and deceleration, frequent lane changing and merging of ramp vehicles into the main line. In order to explore the characteristics of the following behavior under the influence and the behavior difference caused by different interferences, the trajectory data of 48 vehicles were processed from the video taken in freeway merging area. 11 characteristic parameters which could represent the vehicle following state were extracted from the trajectory data. The PSO-FCM (Particle Swarm Optimization Fuzzy C-Means) algorithm was used to analyze the following behavior characteristics from three aspects: speed stability, tendency of following behavior and lateral position stability. The results show that there was significant difference of the drivers′ following behaviors in different lanes. The drivers in the outer lane were most affected, their driving state was unstable and they were prone to more aggressive following behaviors; the middle lane was the second; their inner lane was relatively stable, and the interference of regional traffic flow was relatively small. It could be inferred that the instability of traffic flow in the merging area of freeway is the direct cause to the obvious difference of vehicle following behavior in different lanes of this area, and it also has a certain internal relationship with the current situation of frequent traffic accidents in the road section.
王健，温常磊，张香，徐婷，张亚坤
. Difference of Vehicle Following Behavior in Different Lanes of Freeway Merging Area[J]. Transport Research, 2020
, 6(5)
: 59
-65
.
DOI: 10.16503/j.cnki.2095-9931.2020.05.008
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