A Car-Following Model for Mixed Traffic Flows in Intelligent Connected Vehicle Environment Considering Driver Response Characteristics

Abstract

Autonomous driving technology and vehicle-to-vehicle communication technology make the hybrid driving of connected and automated vehicles (CAVs) and regular vehicles (RVs) a long-existing phenomenon in the coming future. Among the existing studies, IDM models are mostly used to study the performance of homogeneous traffic flow. To explore the stability of mixed traffic flow, an extended intelligent driver model (IDM) based car-following model was proposed for mixed traffic flow (MTF) with both CAVs and RVs, considering the headway, the speed and acceleration of multiple front vehicles, as well as the response characteristics of RV drivers. Through the linear stability analysis, the criterion for the stability of MTFs was derived, and the relationship among the penetration rate of CAVs, equilibrium velocity and traffic stability in MTF are discussed. Based on the above theoretical model, a numerical simulation was conducted in two typical scenarios of starting and braking. The results showed that, at the microscopic scale, the vehicle in the Cooperative Adaptive Cruise Control (CACC) mode could significantly decelerate in response to the interference from other vehicles in the same traffic environment. At the macroscopic scale, as the penetration rate of CAVs increased, the overall acceleration fluctuation of the traffic flow decreased. At the same penetration rate of CAVs, the higher density of CAVs coincided with the higher stability of the MTF. When the penetration rate of CAVs was 50%, the degree of distribution had the greatest impact on the MTF. When the penetration rate of CAVs exceeded 70%, the degree of distribution had little impact on the MTF. This research can provide basic theoretical support for the management and control of MTF in the future.

Multi-State Car-Following Behavior Simulation in a Mixed Traffic Flow for ICVs and MDVs

“…Autonomous driving technology and V2V communication technology will induce the long-term mixed traffic flow of CAVs and regular vehicles in the future [25,26]. There are many theoretical studies on mixed traffic flow.…”

Bir Mikrokanaldaki Kayma Akışında Basınç Kaybı Analizi

“…Dolayısıyla, sınır şartı olarak cidarda kaymama sınır şartı geçerlidir ve bu sınır şartı altında Navier-Stokes denklemi kullanılarak akışın çözümü yapılır. Yüzeye yakın yerdeki akışın sıcaklığı yüzey sıcaklığına eşittir [1,3,6,[16][17][18]. Knudsen sayısının 10-1 ile 10 arasında olduğu bölgeye geçiş akışı bölgesi (transition flow region) ismi verilir.…”

Traffic Flow State Analysis Considering Driver Response Time and V2V Communication Delay in Heterogeneous Traffic Environment

“…As the field of autonomous driving and wireless communication technology matures, more and more attention has been paid to the research and development of connected automated vehicles [1][2][3][4]. Relevant research [1] shows that in the next 5 years around 10% of vehicles on the road will be CAVs, and in the next 30 years the proportion will rise to 75%.…”

“…In [14], it is shown that the driver's psycho-physiological characteristics are the factors that affect driver response time. (2) In terms of secondary task driving behavior, the researchers in [15] found that the execution of secondary task driving behavior would reduce driver response time to the front vehicle, while attention to the road was more concentrated.…”