Analysis of Mixed Vehicle Traffic Flow at Signalized Intersections Based on the Mixed Traffic Agent Model of Autonomous-Manual Driving Connected Vehicles

2021 ◽  
pp. 817-830
Author(s):  
You Ren ◽  
Shan Jiang ◽  
Guan Yan ◽  
Hongmei Shan ◽  
Huiying Lin ◽  
...  
Keyword(s):  
Traffic Flow ◽  
Signalized Intersections ◽  
Connected Vehicles ◽  
Mixed Traffic ◽  
Agent Model ◽  
Vehicle Traffic

scholarly journals Delay estimates of mixed traffic flow at signalized intersections in China

2009 ◽  
Vol 14 (2) ◽  
pp. 157-160 ◽  
Author(s):  
Yuelong Su ◽  
Zheng Wei ◽  
Sihan Cheng ◽  
Danya Yao ◽  
Yi Zhang ◽  
...  
Keyword(s):  
Traffic Flow ◽  
Signalized Intersections ◽  
Mixed Traffic ◽  
Mixed Traffic Flow

Nonmotorized Interference and Control Measures at Signalized Intersections in China

2003 ◽  
Vol 1846 (1) ◽  
pp. 44-49 ◽  
Author(s):  
Heng Wei ◽  
Feng Lu ◽  
Gang Hou ◽  
Abi Mogharabi
Keyword(s):  
Urban Areas ◽  
Motor Vehicle ◽  
Cost Effective ◽  
Signalized Intersections ◽  
Urban Transport ◽  
Control Measures ◽  
Mixed Traffic ◽  
Vehicle Traffic ◽  
Traffic Conditions ◽  
And Control

The adverse effects of bicycles and pedestrians on motor vehicle traffic in at-grade, signalized intersections under mixed-traffic conditions have been observed at several typical intersections in Beijing. Mixed bicycle and motor vehicle traffic is a major characteristic of urban transport in China and has led to serious congestion and capacity reduction in at-grade signalized intersections in urban areas. A method is presented to quantitatively measure nonmotorized effects, and values are recommended for adjusting the model to estimate the capacity of through vehicle lanes. Several temporal segregation solutions to mixed-traffic problems in at-grade signalized intersections are described that have proven cost-effective in several Chinese cities, and suggestions for their application are provided.

scholarly journals How Does Heterogeneity Affect Freeway Safety? A Simulation-Based Exploration Considering Sustainable Intelligent Connected Vehicles

2020 ◽  
Vol 12 (21) ◽  
pp. 8941
Author(s):  
Yuntao Shi ◽  
Ye Li ◽  
Qing Cai ◽  
Hao Zhang ◽  
Dan Wu
Keyword(s):  
Traffic Flow ◽  
Dynamic Models ◽  
Sustainable Transportation ◽  
Individual Heterogeneity ◽  
Model Parameters ◽  
Connected Vehicles ◽  
Mixed Traffic ◽  
Cruise Control ◽  
Negative Effects ◽  
Mixed Traffic Flow

Intelligent connected vehicles (ICVs) are recognized as a new sustainable transportation mode, which could be promising for reducing crashes. However, the mixed traffic consisting of manually driven vehicles and ICVs may negatively affect road safety due to individual heterogeneity. This study investigated heterogeneity effects on freeway safety-based simulation experiments. Two types of vehicle dynamic models were employed to depict dynamic behaviors of manually driven vehicles and adaptive cruise control (ACC) vehicles (a simplified version of ICVs), respectively. Real vehicle trajectories were utilized to calibrate model parameters based on genetic algorithms. Surrogate safety measures were applied to establish the relationship between vehicle behaviors and longitudinal collision risks. Simulation results indicate that the heterogeneity has negative effects on longitudinal safety. With the higher degree of heterogeneity, longitudinal collision risks are increased. Compared to traffic flow consisting of human drivers only, mixed traffic flow may be more dangerous when the market penetration rate of ACC is low, since the ACC system can be recognized as a new source of individual heterogeneity. Findings of this study show that necessary countermeasures should be developed to improve safety for mixed traffic flow from the perspective of transportation safety planning in the near future.

Analysis on traffic stability and capacity for mixed traffic flow with platoons of intelligent connected vehicles

2020 ◽  
Vol 557 ◽  
pp. 124829 ◽  
Author(s):  
Xin Chang ◽  
Haijian Li ◽  
Jian Rong ◽  
Xiaohua Zhao ◽  
An’ran Li
Keyword(s):  
Traffic Flow ◽  
Connected Vehicles ◽  
Mixed Traffic ◽  
Mixed Traffic Flow
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