Experimental and empirical investigations of traffic flow instability

Effects of the Driver’s Disturbance Risk Preference Heterogeneity and its System Thresholds on Traffic Flow Instability

“…Many scholars proposed traffic flow models such as carfollowing model to investigate the effects of various kinds of traffic factors on traffic flow instability. For its good mathematical physical properties of the analytical analysis and the numerical analysis, in traffic flow field, especially in traffic physics, the car-following model has received much attention, extensive research and application such as [1]- [20] and [22]- [33], and scholars proposed the corresponding car-following models to investigate the effects of traffic factors on traffic flow instability. The optimal velocity model (OVM), which is of great importance, was proposed by Bando et al [2] in 1995.…”

“…In order to study the micro-individual vehicle behavior, considering the uncertainty of vehicle acceleration mechanism, Xue [7] proposed a car-following model with randomly considering the relative velocity called as SR-OV model, and the effects of stochastic relative velocity on traffic flow instability were analyzed, and it showed with the probability of considering the relative velocity increasing, a small disturbance would be suppressed more effectively, which also meant the information of the relative velocity could reduce traffic flow instability. In addition to the theoretical research, with the empirical data, a few scholars also studied the effects of some traffic factors on traffic flow instability based on the carfollowing model such as [1], [27]- [31], [33]. Jiang et al [1] reported their experimental and empirical studies on traffic flow instability and based on the experimental and empirical results, they assumed traffic flow instability depended on two factors: one was the stochastic disturbances in traffic system, which tended to increase traffic flow instability, and the other was the drivers' adaptation to the changing velocity, which tended to reduce traffic flow instability.…”

“…In addition to the theoretical research, with the empirical data, a few scholars also studied the effects of some traffic factors on traffic flow instability based on the carfollowing model such as [1], [27]- [31], [33]. Jiang et al [1] reported their experimental and empirical studies on traffic flow instability and based on the experimental and empirical results, they assumed traffic flow instability depended on two factors: one was the stochastic disturbances in traffic system, which tended to increase traffic flow instability, and the other was the drivers' adaptation to the changing velocity, which tended to reduce traffic flow instability. Finally, they obtained many insights such as traffic instability indicator could be better represented by velocity than the density and there was a velocity threshold for traffic flow, and when traffic flow velocity was more than the velocity threshold, traffic flow was likely to be stable and vice versa.…”

“…Traffic flow instability is a property of traffic flow, which is important and undesirable, and its indicator can be velocity, headway or density [1] and it is also measured by the size of the unstable region of traffic flow phase diagram in the headway-sensitivity space [2]- [20]. According to [21], the driver's disturbance risk preference refers to the driver's reaction degree to the disturbance, which is one kind of The associate editor coordinating the review of this manuscript and approving it for publication was Shaohua Wan.…”

Some features of car‐following behaviour in the vicinity of signalised intersection and how to model them

“…Kalman smoothing algorithm was used to eliminate noise in the data which was used to analyse driving behaviours during the carfollowing stage. Jiang et al [30][31][32] carried out a series of largescale car-following experiments and obtained driving data through high-precision vehicle GPS. The analysis showed that there is a significant difference between the real driving data and the classic car-following model.…”