scholarly journals Collaborative Strategies and Simulation of Vehicle Group Behaviors for Off-Ramp Areas

2020 ◽  
Vol 2020 ◽  
pp. 1-11
Author(s):  
Tong Mo ◽  
Keyi Li ◽  
Junjie Zhang ◽  
Lingqiao Qin ◽  
Zhufei Huang ◽  
...  
Keyword(s):  
Traffic Flow ◽  
Traffic Accidents ◽  
Urban Traffic ◽  
Vehicle Group ◽  
Connected Vehicle ◽  
Lane Changing ◽  
Main Road ◽  
Flow Balance ◽  
Collaborative Strategies ◽  
Balance Strategy

With the increase of vehicle ownership and the rapid growth of urban traffic, the problem of congestion in the off-ramp area of the main expressway has become the main factor restricting overall section efficiency and inducing traffic accidents. This paper focuses on the problem of group collaborative lane-changing behaviors of off-ramp vehicles and through vehicles in off-ramp areas and proposes four kinds of vehicle group collaborative strategies based on different road space balance conditions. According to a three-lane expressway scene, a VISSIM-based simulation model is built and the optimization scheme is simulated and evaluated. The simulation results show that with the increase of traffic flow in off-ramp areas, a flow-balance strategy for downstream lanes where off-ramp vehicles merge with the outside lane in advance is more advantageous. When vehicles are leaving the main road, if traffic flow is heavy, the flow-balance strategy for lanes where off-ramp vehicles merge with the outside lane in advance (for example, the proportion of off-ramp vehicles in three lanes is 0 : 0 : 1) is better; otherwise, when the traffic flow on the main road is relatively small, the flow-balance strategy for lanes where off-ramp vehicles are distributed in lanes with different ratios (e.g., 1 : 3 : 6) is better. What is more, for future traffic management in connected vehicle environments, it can be concluded that collaborative vehicle lane-changing strategies with different traffic flow states can help to enhance traffic efficiency.

scholarly journals Research on Mandatory Lane-Changing Behavior in Highway Weaving Sections

2020 ◽  
Vol 2020 ◽  
pp. 1-9 ◽  
Author(s):  
Wei Hao ◽  
Zhaolei Zhang ◽  
Zhibo Gao ◽  
Kefu Yi ◽  
Li Liu ◽  
...  
Keyword(s):  
Traffic Flow ◽  
Traffic Accidents ◽  
Driving Behavior ◽  
Heterogeneous Traffic ◽  
Psychological Characteristics ◽  
Distribution Characteristics ◽  
Mixed Traffic ◽  
Lane Changing ◽  
Headway Distribution ◽  
Analysis Models

As the accident-prone sections and bottlenecks, highway weaving sections will become more complicated when it comes to the mixed-traffic environments with connected and automated vehicles (CAVs) and human-driven vehicles (HVs). In order to make CAVs accurately identify the driving behavior of manual-human vehicles to avoid traffic accidents caused by lane changing, it is necessary to analyze the characteristics of the mandatory lane-changing (MCL) process in the weaving area. An analytical MCL method based on the driver’s psychological characteristics is proposed in this study. Firstly, the driver’s MLC pressure concept was proposed by leading in the distance of the off-ramp. Then, the lane-changing intention was quantified by considering the driver’s MLC pressure and tendentiousness. Finally, based on the lane-changing intention and the headway distribution of the target lane, an MLC positions probability density model was proposed to describe the distribution characteristics of the lane-changing position. Through the NGSIM data verification, the lane-changing analysis models can objectively describe the vehicle lane-changing characteristics in the actual scenarios. Compared with the traditional lane-changing model, the proposed models are more interpretable and in line with the driving intention. The results show significant improvements in the lane-changing safe recognition of CAVs in heterogeneous traffic flow (both CAVs and HVs) in the future.

scholarly journals Modeling and simulation of vehicle group lane-changing behaviors in upstream segment of ramp areas under a connected vehicle environment

2019 ◽  
Vol 1 (1) ◽  
pp. 17-29 ◽  
Author(s):  
Haijian Li ◽  
Zhufei Huang ◽  
Lingqiao Qin ◽  
Shuo Zheng ◽  
Yanfang Yang
Keyword(s):  
Traffic Congestion ◽  
Road Safety ◽  
Design Methodology ◽  
Vehicle Group ◽  
Connected Vehicle ◽  
Lane Changing ◽  
Content Type ◽  
Traffic Capacity ◽  
Simulation Results ◽  
Vehicle Technologies

Purpose The purpose of this study is to effectively optimize vehicle lane-changing behavior and alleviate traffic congestion in ramp area through the study of vehicle lane-changing behaviors in upstream segment of ramp areas. Design/methodology/approach In the upstream segment of ramp areas under a connected vehicle environment, different strategies of vehicle group lane-changing behaviors are modeled to obtain the best group lane-changing strategy. The traffic capacity of roads can be improved by controlling group lane-changing behavior and continuously optimizing lane-changing strategy through connected vehicle technologies. This paper constructs vehicle group lane-changing strategies in upstream segment of ramp areas under a connected vehicle environment. The proposed strategies are simulated by VISSIM. Findings The results show that different lane-changing strategies are modeled through vehicle group in the upstream segment of ramp areas, which can greatly reduce the delay of ramp areas. Originality/value The simulation results verify the validity and rationality of the corresponding vehicle group lane-changing behavior model strategies, effectively standardize the driver's lane-changing behavior, and improve road safety and capacity.

Study on the Traffic Behavior of On-Ramp System Considering Driver Behavior

2014 ◽  
Vol 926-930 ◽  
pp. 3661-3664
Author(s):  
Li Na Liu ◽  
Jie Wang ◽  
Chang Sheng Zhu ◽  
Qing Yang
Keyword(s):  
Traffic Flow ◽  
Driver Behavior ◽  
Real Life ◽  
Open Boundary ◽  
Open Boundary Conditions ◽  
Lane Changing ◽  
Main Road ◽  
Road Map ◽  
Behavior Characteristics ◽  
Traffic Behavior

based on the main road into a two lane entrance ramp system the open boundary conditions, using the asymmetric lane changing rules, considering driver behavior characteristics, from standpoint of safety driving ,simulate the entrance ramp system. We get a basic road map different entrance probability of flow, velocity, and analyze the driving safety.compared with reference, and the reference results show that after considering driver behavior, in the ramp at the interface, reduce the interaction with the main ramp,not only the system traffic flow in each section is improved, and but also improve the driving safety.Considering the entrance ramp system driver behavior can be simulated more in line with the running state of the vehicle in real life.

scholarly journals A Neural Network Model for Driver’s Lane-Changing Trajectory Prediction in Urban Traffic Flow

2013 ◽  
Vol 2013 ◽  
pp. 1-8 ◽  
Author(s):  
Chenxi Ding ◽  
Wuhong Wang ◽  
Xiao Wang ◽  
Martin Baumann
Keyword(s):  
Neural Network ◽  
Traffic Flow ◽  
Network Model ◽  
Neural Network Model ◽  
Bp Neural Network ◽  
Driving Simulator ◽  
Back Propagation ◽  
Urban Traffic ◽  
Lane Changing ◽  
Training Time

The neural network may learn and incorporate the uncertainties to predict the driver’s lane-changing behavior more accurately. In this paper, we will discuss in detail the effectiveness of Back-Propagation (BP) neural network for prediction of lane-changing trajectory based on the past vehicle data and compare the results between BP neural network model and Elman Network model in terms of the training time and accuracy. Driving simulator data and NGSIM data were processed by a smooth method and then used to validate the availability of the model. The test results indicate that BP neural network might be an accurate prediction of driver’s lane-changing behavior in urban traffic flow. The objective of this paper is to show the usefulness of BP neural network in prediction of lane-changing process and confirm that the vehicle trajectory is influenced previously by the collected data.

The Vehicle’s Lane-Changing Rules of On-Ramp System

2013 ◽  
Vol 462-463 ◽  
pp. 495-500
Author(s):  
Gui Feng Wang ◽  
Ming Wu
Keyword(s):  
Traffic Flow ◽  
Safe Distance ◽  
Simulation Experiments ◽  
Lane Changing ◽  
Main Road ◽  
Important Impact ◽  
Downstream Section

In order to observe the feather of traffice of on-ramp system in simulation experiments more truly, four different lane changing rules are presented based on the point of safe-distance. Experiment results show that the lane changing rules do have an important impact on the traffic flow of on-ramp system. The rule without safe-distance could make the capacity of the on-ramp section get its biggest value, while the capacity of upstream and downstream of main road both gets brought down; the rule considering forward and backward safe-distance could make the upstream section, downstream section and the whole system get their biggest value.

scholarly journals Determining Appropriate Lane-Changing Spacing for Off-Ramp Areas of Urban Expressways

2019 ◽  
Vol 11 (7) ◽  
pp. 2087 ◽  
Author(s):  
Zhufei Huang ◽  
Zihan Zhang ◽  
Haijian Li ◽  
Lingqiao Qin ◽  
Jian Rong
Keyword(s):  
Traffic Flow ◽  
Traffic Volume ◽  
Urban Traffic ◽  
Model Parameters ◽  
Flow State ◽  
Flow Conditions ◽  
Lane Changing ◽  
Traffic Capacity ◽  
Spacing Interval ◽  
Road Geometry

Congestion has become a significant issue in recent years and has greatly affected the efficiency of urban traffic operation. Random and disorderly lane-changing behavior greatly reduces traffic capacity and safety. This paper is mainly concerned with the relationship of lane-changing spacing intervals provided by off-ramp facilities and traffic flow conditions. Through field investigations in Beijing, several typical lane-changing behaviors at off-ramp areas are analyzed. By using field traffic data and actual road geometry parameters, VISSIM-based micro-behavior simulations at off-ramp areas are implemented to obtain traffic flow conditions with different lane-changing spacing intervals and other model parameters, such as traffic volume and ratio of off-ramp vehicles. Then, the numerical relationships between traffic flow state and model parameters can be shown. The results show that with increasing traffic volume and the ratio of off-ramp vehicles, the lane-changing spacing interval required by vehicles should be increased. For the same ratio of off-ramp vehicles, if the traffic volume increases by 100 pcu/h/lane (pcu is a unit to stand for a standard passenger car), the corresponding lane-changing spacing interval should be increased by a spacing of 50–100 m to avoid increasing congestion. Based on the results of this paper, smart lane management can be implemented by optimizing lane-changing spacing intervals and lane-changing behaviors to improve traffic capacity.

Simulation study of traffic accidents on a three-lane highway

2015 ◽  
Vol 26 (03) ◽  
pp. 1550027 ◽  
Author(s):  
Jau-Yang Chang ◽  
Wun-Cing Lai
Keyword(s):  
Traffic Flow ◽  
Simulation Study ◽  
Traffic Safety ◽  
Traffic Accidents ◽  
Flow Model ◽  
Human Life ◽  
Lane Changing ◽  
Traffic Flow Model ◽  
Vehicle Accidents ◽  
Driving Behaviors

Unsuitable driving behaviors often lead to the occurrence of traffic accidents. To reduce accidents and to prolong human life, simulated investigations are highly desirable to evaluate the effect of traffic safety in terms of number of traffic accidents. In this paper, a three-lane traffic flow model is proposed to analyze the probability of the occurrence of traffic accidents on highway. We define appropriate driving rules for the forward moving and lane changing of the vehicles. Three types of vehicle accidents are designed to investigate the relationships between different driving behaviors and traffic accidents. We simulate four road driving strategies, and compute the traffic flow, velocity, lane-changing frequency and the probability of the occurrence of traffic accidents for different road driving strategies. According to the simulation and analysis, it is shown that the probability of the occurrence of traffic accidents can be reduced by using the specified road driving strategies. Additionally, we found that the occurrence of traffic accidents can be avoided when the slow vehicles are suitably constrained to move on a three-lane highway.

scholarly journals Research Progress of Road Intersection Design Analysis

2020 ◽  
pp. 245-256
Author(s):  
Hwan NamGung ◽  
ChangSop Kim ◽  
KyongChol Choe ◽  
CholUk Ri ◽  
YongNam Kim ◽  
...  
Keyword(s):  
Traffic Flow ◽  
Traffic Accidents ◽  
Road Traffic ◽  
Design Method ◽  
Urban Traffic ◽  
Research Progress ◽  
Adjacent Area ◽  
Crossover Point ◽  
Efficient Operation ◽  
Advantages And Disadvantages

Intersection is one of the most important components of urban roads, and traffic flow is the node that realizes route change. When the vehicle passes through the intersection due to the need for traffic flow route conversion, the driver can slow down, change lanes, park, steer. A series of tasks such as acceleration, etc., must be completed, and this process must be completed at the intersection and its neighboring area. Therefore, a number of traffic conflict points are formed at the intersection and its adjacent area, and the intersection between traffic flows in different directions, Traffic conflicts such as merger and direction change occur. Traffic characteristics of intersections are more complex than road sections, and road traffic bottlenecks and traffic accidents are frequent. Good design of intersections ensures safe and efficient operation of the entire road network. Based on the analysis of the serious causes of urban traffic problems, the importance of intersections in improving road traffic capacity, traffic jams and accidents is analyzed. The basic content, types, forms, advantages and disadvantages of intersections are analyzed in detail. Carry out a specific analysis of the crossover design method classified by the crossover point, and demonstrate the existing and unsolved problems.

scholarly journals SIMULATION STUDY OF TRAFFIC ACCIDENTS IN BIDIRECTIONAL TRAFFIC MODELS

2010 ◽  
Vol 21 (12) ◽  
pp. 1501-1515 ◽  
Author(s):  
NAJEM MOUSSA
Keyword(s):  
Monte Carlo ◽  
Traffic Flow ◽  
Simulation Study ◽  
Traffic Accidents ◽  
The Other ◽  
Traffic Model ◽  
Heavy Vehicles ◽  
Lane Changing ◽  
Traffic Models ◽  
Car Accidents

Conditions for the occurrence of bidirectional collisions are developed based on the Simon–Gutowitz bidirectional traffic model. Three types of dangerous situations can occur in this model. We analyze those corresponding to head-on collision; rear-end collision and lane-changing collision. Using Monte Carlo simulations, we compute the probability of the occurrence of these collisions for different values of the oncoming cars' density. It is found that the risk of collisions is important when the density of cars in one lane is small and that of the other lane is high enough. The influence of different proportions of heavy vehicles is also studied. We found that heavy vehicles cause an important reduction of traffic flow on the home lane and provoke an increase of the risk of car accidents.

Research on the characteristics of mixed traffic flow based on an improved bicycle model

SIMULATION ◽  
2017 ◽  
Vol 94 (5) ◽  
pp. 451-462
Author(s):  
Peng Dong ◽  
Xifu Wang ◽  
Lifen Yun ◽  
Hongqiang Fan
Keyword(s):  
Simulation Model ◽  
Traffic Flow ◽  
Traffic Accidents ◽  
Urban Traffic ◽  
Mixed Traffic ◽  
Mixed Traffic Flow ◽  
The Road ◽  
Bicycle Model ◽  
Human Powered ◽  
Self Protection

Mixed traffic flow is a main feature of urban traffic in developing countries. Mixed bicycle flow includes human-powered and electric-powered bicycles and plays an important role in this mixed traffic flow. In mixed bicycle flow, cyclist behavior is flexible and variable. Cyclists move arbitrarily in the road and may influence the vehicle flow at intersections. Therefore, we first propose an improved bicycle model that can reproduce the main features of cyclist behavior, such as overtaking and self-protection. Then a simulation model based on the improved bicycle model is proposed to research the characteristics of mixed traffic flow in intersections. The conflict avoidance rules are then applied in the simulation model to eliminate traffic accidents. The simulation results indicate that the improved bicycle model is practical and that the density–velocity diagram of bicycle flow is similar to real traffic data. The existence of bicycle flow decreases vehicle velocity and worsens traffic flow in mixed traffic flow. However, the influence of bicycle flow might disappear at a particular vehicle density.

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