Survey report on urban freeway traffic flow of several typical cities in China

Wu, Shengchun; Zheng, Xian-Qing; Guo, Mingmin; Zheng, Wen-Chen

doi:10.1360/132010-982

Cited by 12 publications

(6 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Density and speed were calculated according to the coordinates of vehicles on each video frame. [15,16] The number of lane changes was manually counted from the video.…”

Section: Empirical Studymentioning

confidence: 99%

A new traffic model with a lane-changing viscosity term

Liu

Guo

et al. 2015

Chinese Phys. B

Self Cite

View full text Add to dashboard Cite

In this paper, a new continuum traffic flow model is proposed, with a lane-changing source term in the continuity equation and a lane-changing viscosity term in the acceleration equation. Based on previous literature, the source term addresses the impact of speed difference and density difference between adjacent lanes, which provides better precision for free lane-changing simulation; the viscosity term turns lane-changing behavior to a "force" that may influence speed distribution. Using a flux-splitting scheme for the model discretization, two cases are investigated numerically. The case under a homogeneous initial condition shows that the numerical results by our model agree well with the analytical ones; the case with a small initial disturbance shows that our model can simulate the evolution of perturbation, including propagation, dissipation, cluster effect and stop-and-go phenomenon.

show abstract

“…Density and speed were calculated according to the coordinates of vehicles on each video frame. [15,16] The number of lane changes was manually counted from the video.…”

Section: Empirical Studymentioning

confidence: 99%

A new traffic model with a lane-changing viscosity term

Liu

Guo

et al. 2015

Chinese Phys. B

Self Cite

View full text Add to dashboard Cite

show abstract

“…According to the results of previous studies using real trafc data, aggressive drivers account for approximately 25% of the total number of drivers [33]. Terefore, in this section, p A � 0.25 is selected as a typical value for calculating the mixed trafc model.…”

Section: Assessing Stability and Capacity Considering Aggressive Driv...mentioning

confidence: 99%

“…(2) 0 < p < 1. Te best scenario occurs when the three types of vehicles have their own platoons, and the average headway is calculated using equation (39); in this case, ε � 3 in equation (33).…”

Section: Teoretical Capacity Based On the Fdm Consideringmentioning

confidence: 99%

“…Te worst scenario is relatively complex compared with the best scenario, and the vehicle order depends on the numbers of the three types of vehicles. According to previous research results [33], the proportion of aggressive driving will not exceed 50%; therefore, this article only considers p A less than 50%. Tis presumption plays a primary role in modeling the average headway in the worst scenario.…”

Section: Teoretical Capacity Based On the Fdm Consideringmentioning

confidence: 99%

See 1 more Smart Citation

Exploring the Stability and Capacity Characteristics of Mixed Traffic Flow with Autonomous and Human-Driven Vehicles considering Aggressive Driving

Zhang

Pan

et al. 2023

Journal of Advanced Transportation

View full text Add to dashboard Cite

With the popularization of autonomous vehicle (AV) technology, mixed traffic flows that consist of AVs and human-driven vehicles (HDVs) will appear in the real world. Although many studies of the features of mixed traffic flow have been carefully evaluated, few studies have focused on the effect of aggressive driving performance on mixed traffic flow. This study aims to develop an approach to evaluate the effects of aggressive driving on the stability and capacity performance under the conditions of AV and HDV mixed traffic flow. First, since a car-following model can describe the relationship between vehicles, we calibrate a car-following model for aggressive driving and nonaggressive driving behaviors based on real traffic data and previous research results. Then, in a mixed traffic flow environment, a basic linear stability formula and capacity calculation expression are developed that consider the effects of vehicle order on the capacity. Finally, because the proportion of aggressive driving and aggressive driving parameters may change, nine combinations of three aggressive driving proportions and three driving parameter cases are used for the sensitivity analysis. The results indicate that the effect of aggressive driving on mixed traffic flow is complex. When the proportion of aggressive driving is less than 35%, the increase in the proportion of aggressive driving increases the traffic capacity and reduces the unstable part. However, when the proportion of aggressive driving is greater than 35%, the increase in the proportion of aggressive driving increases the unstable part. When the penetration rate of AVs exceeds 0.490, mixed traffic flow remains stable at all aggressive driving proportions. In addition, the capacity of a mixed traffic flow may be improved as the penetration rate of AVs increases. To a certain extent, these conclusions provide a theoretical basis for formulating different management modes of AVs and HDVs.

show abstract

“…And the underlying assumption of these existing models is the relationship between traffic flow and density which is triangular fundamental diagram. This is somewhat unavailable to describe the traffic flow characteristic of urban expressway because the metastable state is one typical flow characteristic of urban expressway in China [12,13]. Therefore, model modification taking into account metastable state is necessary to analysis of the effect of traffic incident on urban expressway.…”

Section: Introductionmentioning

confidence: 99%

An Approach to Modeling the Impact of Traffic Incident on Urban Expressway

Lü

et al. 2015

Discrete Dynamics in Nature and Society

View full text Add to dashboard Cite

To identify network bottlenecks of urban expressway effectively is a foundational work for improving network traffic condition and preventing traffic congestion. This study proposes a methodology to estimate the impact of traffic incident on urban expressway on the basis of modified cell transmission model. The metastable state was taken into account in the proposed method to reflect the actual operating state of traffic flow on urban expressway as much as possible. Regarding the location of traffic incident, the method of cell restructuring settings was discussed. We then proceed to introduce a new concept of the effected length in a given time period as the evaluation indicator to directly depict the influence of traffic incident. The proposed method was tested on a 6516-meter urban expressway section of west second ring road in Beijing. The simulation results indicated that the proposed methodology performs well to predict the impact of traffic incident on urban expressway.

show abstract

Survey report on urban freeway traffic flow of several typical cities in China

Cited by 12 publications

References 0 publications

A new traffic model with a lane-changing viscosity term

A new traffic model with a lane-changing viscosity term

Exploring the Stability and Capacity Characteristics of Mixed Traffic Flow with Autonomous and Human-Driven Vehicles considering Aggressive Driving

An Approach to Modeling the Impact of Traffic Incident on Urban Expressway

Contact Info

Product

Resources

About