The Impact of Vehicle Lane Changing Behavior on Road Capacity Based on VISSIM Simulation

AbstractThis paper proposes a lateral lane change obstacle avoidance constraint control simulation algorithm based on the driving behavior recognition of the preceding vehicles in adjacent lanes. Firstly, the driving behavior of the preceding vehicles is recognized based on the Hidden Markov Model, this research uses longitudinal velocity, lateral displacement and lateral velocity as the optimal observation signals to recognize the driving behaviors including lane-keeping, left-lane-changing or right-lane-changing; Secondly, through the simulation of the dangerous cutting-in behavior of the preceding vehicles in adjacent lanes, this paper calculates the ideal front wheel steering angle according to the designed lateral acceleration in the process of obstacle avoidance, designs the vehicle lateral motion controller by combining the backstepping and Dynamic Surface Control, and the safety boundary of the lateral motion is constrained based on the Barrier Lyapunov Function; Finally, simulation model is built, and the simulation results show that the designed controller has good performance. This active safety technology effectively reduces the impact on the autonomous vehicle safety when the preceding vehicle suddenly cuts into the lane.

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Modeling of cooperative adaptive cruise control vehicle and its effect on traffic flow

International Journal of Modern Physics C ◽

10.1142/s012918312250022x ◽

2021 ◽

pp. 2250022

Author(s):

Jianzhong Chen ◽

Yang Zhou ◽

Jing Li ◽

Huan Liang ◽

Zekai Lv ◽

...

Keyword(s):

Traffic Flow ◽

Cooperative Control ◽

Adaptive Cruise Control ◽

Cruise Control ◽

Lane Changing ◽

Vehicle Communication ◽

Traffic Efficiency ◽

Vehicle To Vehicle ◽

Road Capacity ◽

Cooperative Adaptive Cruise Control

In this paper, an improved multianticipative cooperative adaptive cruise control (CACC) model is proposed based on fully utilizing multivehicle information obtained by vehicle-to-vehicle communication. More flexible, effective and practical spacing strategy is embedded into the model. We design a new lane-changing rule for CACC vehicles on the freeway. The rule considers that CACC vehicles are more inclined to form a platoon for coordinated control. Furthermore, we investigate the effect of CACC vehicles on two-lane traffic flow. The results demonstrate that introducing CACC vehicles into mixed traffic and forming CACC platoon to cooperative control can improve traffic efficiency and enhance road capacity to a certain extent.

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A novel lattice hydrodynamic model accounting for individual difference of honk effect for two-lane highway under V2X environment

International Journal of Modern Physics C ◽

10.1142/s0129183122500814 ◽

2022 ◽

Author(s):

Xiaoqin Li ◽

Guanghan Peng

Keyword(s):

Stability Analysis ◽

Individual Difference ◽

Early Time ◽

Mkdv Equation ◽

Traffic Modeling ◽

Lattice Hydrodynamic Model ◽

Lane Changing ◽

The Individual ◽

The Impact ◽

Honk Effect

In this work, the individual difference of the honk effect is explored on two lanes via traffic modeling of the lattice model under Vehicle to X (V2X) environment. We study the impact of individual difference corresponding to honk cases on traffic stability through linear stability analysis for a two-lane highway. Furthermore, the mKdV equation under the lane changing phenomena is conducted via nonlinear analysis. Simulation cases for the early time and longtime impact reveal that individual difference of driving characteristics has a distinct impact on two lanes under the whistling environment.

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Modeling the Pedestrian Ability of Detecting Lanes and Lane Changing Behavior

Modern Applied Science ◽

10.5539/mas.v10n7p1 ◽

2016 ◽

Vol 10 (7) ◽

pp. 1

Author(s):

Mohammed Mahmod Shuaib

Keyword(s):

Quantitative Measurement ◽

Force Model ◽

Social Force ◽

Lane Changing ◽

Crowd Dynamics ◽

Proposed Model ◽

The Social ◽

Lane Formation ◽

Dynamics Models ◽

The Impact

Incorporating decision-making capability as an intelligence aspect into crowd dynamics models is crucial factor for reproducing realistic pedestrian flow. Crowd dynamics models are still suffering from poor representation of essential behaviors such as lane changing behavior. In this article, we provide the simulated pedestrians in the social force model more intelligence as an extension to the pedestrian’s investigation capability in bidirectional walkways, to let the model appear more representative of what actually happens in reality. In the proposed model, the lane’s structure is modeled as social network. Thereby, the simulated pedestrians with inconvenient walking can detect the available lanes inside his environment, investigate their attractions, and then make decisions to join the most attractive one. Simulations are performed to validate the work qualitatively by tracing the behavior of the simulated pedestrians and studying the impact of this behavior on lane formation. Finally, a quantitative measurement is used to study the effect of our contribution on the pedestrians’ efficiency of motion.

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The Impact of Emergency Parking Bays on Quasi-Eight-Lane Expressway Traffic Operations

Sustainability ◽

10.3390/su12083432 ◽

2020 ◽

Vol 12 (8) ◽

pp. 3432

Author(s):

Zhen Yang ◽

Xiaocan Chen ◽

Dazhi Sun

Keyword(s):

High Volume ◽

Traffic Volume ◽

Simulation Software ◽

Traffic Operations ◽

Microscopic Simulation ◽

Lane Changing ◽

Traffic Demand ◽

The Road ◽

Traffic Operation ◽

The Impact

Recently, with the discrepancy between increasing traffic demand and limited land resources, more and more expressways are choosing to use hard shoulders to expand into quasi-six-lane or quasi-eight-lane roads. Therefore, more emergency parking bays are used in place of traditional parking belts. However, there are no standards defining clear and unified specifications for the design of parking bays. This paper aimed to investigate the impact of emergency parking bays on expressway traffic operations with various traffic volumes and setting conditions. Based on the Monte Carlo method, VISSIM (Verkehr in Städten Simulation, a microscopic simulation software) simulation experiments were conducted using measured traffic operation data from one expressway in Zhejiang province. The probability of unsafe deceleration, lane-changing maneuvers and delay times were considered as the safety and efficiency indexes in this simulation study. The simulation results indicated that the emergency parking vehicle had an increasing impact on the following vehicle as the traffic volume increased. However, the impact pattern was found to be insensitive to the changing of the bay taper length. For low traffic volume, compared with the arrival vehicle, the departure vehicle had more impact on the traffic operation of the mainline. However, the impact of the arrival vehicle became more remarkable as the traffic volume increased. After parking, the waiting time for merging into the mainline was reduced as the volume decreased or as the bay taper increased. Furthermore, reductions caused by varying bay tapers were more significant under high volume conditions. Finally, this study suggests that parking bays are inapplicable when the occupancy of the road space exceeds 20% (about 3000 veh/h), because they would cause significant impact on the safety and efficiency of the expressway. The results of this paper are useful for the design and implementation of emergency parking bays.

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CONGESTION EFFECTS OF AUTONOMOUS TAXI FLEETS

Transport ◽

10.3846/16484142.2017.1347827 ◽

2018 ◽

Vol 33 (4) ◽

pp. 971-980 ◽

Cited By ~ 21

Author(s):

Michal Maciejewski ◽

Joschka Bischoff

Keyword(s):

Traffic Congestion ◽

Autonomous Vehicles ◽

Large Scale ◽

Traffic Volume ◽

City Centre ◽

Conventional Vehicle ◽

Road Capacity ◽

Private Car ◽

The One ◽

The Impact

Fleets of shared Autonomous Vehicles (AVs) could replace private cars by providing a taxi-like service but at a cost similar to driving a private car. On the one hand, large Autonomous Taxi (AT) fleets may result in increased road capacity and lower demand for parking spaces. On the other hand, an increase in vehicle trips is very likely, as travelling becomes more convenient and affordable, and additionally, ATs need to drive unoccupied between requests. This study evaluates the impact of a city-wide introduction of ATs on traffic congestion. The analysis is based on a multi-agent transport simulation (MATSim) of Berlin (Germany) and the neighbouring Brandenburg area. The central focus is on precise simulation of both real-time AT operation and mixed autonomous/conventional vehicle traffic flow. Different ratios of replacing private car trips with AT trips are used to estimate the possible effects at different stages of introducing such services. The obtained results suggest that large fleets operating in cities may have a positive effect on traffic if road capacity increases according to current predictions. ATs will practically eliminate traffic congestion, even in the city centre, despite the increase in traffic volume. However, given no flow capacity improvement, such services cannot be introduced on a large scale, since the induced additional traffic volume will intensify today’s congestion.

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A hazard-based duration model to quantify the impact of connected driving environment on safety during mandatory lane-changing

Transportation Research Part C Emerging Technologies ◽

10.1016/j.trc.2019.07.015 ◽

2019 ◽

Vol 106 ◽

pp. 113-131 ◽

Cited By ~ 19

Author(s):

Yasir Ali ◽

Md. Mazharul Haque ◽

Zuduo Zheng ◽

Simon Washington ◽

Mehmet Yildirimoglu

Keyword(s):

Duration Model ◽

Lane Changing ◽

The Impact

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Traffic dynamics around weaving section influenced by accident: Cellular automata approach

International Journal of Modern Physics C ◽

10.1142/s0129183115500266 ◽

2015 ◽

Vol 26 (03) ◽

pp. 1550026 ◽

Cited By ~ 5

Author(s):

Lin-Peng Kong ◽

Xin-Gang Li ◽

William H. K. Lam

Keyword(s):

Traffic Management ◽

Control Measures ◽

Effective Control ◽

Traffic Dynamics ◽

Traffic Jam ◽

The Road ◽

Road Capacity ◽

Prone Area ◽

Accident Conditions ◽

The Impact

The weaving section, as a typical bottleneck, is one source of vehicle conflicts and an accident-prone area. Traffic accident will block lanes and the road capacity will be reduced. Several models have been established to study the dynamics around traffic bottlenecks. However, little attention has been paid to study the complex traffic dynamics influenced by the combined effects of bottleneck and accident. This paper presents a cellular automaton model to characterize accident-induced traffic behavior around the weaving section. Some effective control measures are proposed and verified for traffic management under accident condition. The total flux as a function of inflow rates, the phase diagrams, the spatial-temporal diagrams, and the density and velocity profiles are presented to analyze the impact of accident. It was shown that the proposed control measures for weaving traffic can improve the capacity of weaving section under both normal and accident conditions; the accidents occurring on median lane in the weaving section are more inclined to cause traffic jam and reduce road capacity; the capacity of weaving section will be greatly reduced when the accident happens downstream the weaving section.

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City Occupancy and Road Capacity Model

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.1044-1045.1538 ◽

2014 ◽

Vol 1044-1045 ◽

pp. 1538-1540 ◽

Cited By ~ 1

Author(s):

Yi Lin Fan ◽

Bei Chen Cheng ◽

Li Li Cao ◽

Kun Cheng Huang

Keyword(s):

Cross Section ◽

Road Traffic ◽

The Road ◽

Road Capacity ◽

Traffic Capacity ◽

Capacity Model ◽

The Cross ◽

Definition Of ◽

The Impact ◽

Accident Case

In this paper, we study the impact of city driveway occupancy on the urban road traffic capacity. Through the analysis of the scene of an accident case, we gained the vehicle statistics within a cross section in unit time and then did calculation and simulation. The work is concluded as a reasonable model of vehicle queue relationship evaluation.First, on the base of the definition of traffic capacity, statistics of the cars in the cross section before the accident, during the accident and after the accident have been respectively acquired in unit time (1 min). Then we employ Matlab to do the interpolation fitting, drawing the change of actual capacity of the road from the beginning time of an accident to the time when traffic resumes. The work comes to a conclusion that the change of the capacity at the cross section has a pattern of periodic fluctuation.

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Multi-lane Changing Model with Coupling Driving Intention and Inclination

PROMET - Traffic&Transportation ◽

10.7307/ptt.v29i2.2085 ◽

2017 ◽

Vol 29 (2) ◽

pp. 185-192 ◽

Cited By ~ 4

Author(s):

Jiangfeng Wang ◽

Chang Gao ◽

Zhouyuan Zhu ◽

Xuedong Yan

Keyword(s):

Risk Factor ◽

Lane Changing ◽

Traffic Demand ◽

Average Speed ◽

Slowing Down ◽

Behavioural Characteristics ◽

Proposed Model ◽

Density Flow ◽

The Impact ◽

The Relationship

Considering the impact of drivers’ psychology and behaviour, a multi-lane changing model coupling driving intention and inclination is proposed by introducing two quantitative indices of intention: strength of lane changing and risk factor. According to the psychological and behavioural characteristics of aggressive drivers and conservative drivers, the safety conditions for lane changing are designed respectively. The numerical simulations show that the proposed model is suitable for describing the traffic flow with frequent lane changing, which is more consistent with the driving behaviour of drivers in China. Compared with symmetric two-lane cellular automata (STCA) model, the proposed model can improve the average speed of vehicles by 1.04% under different traffic demands when aggressive drivers are in a higher proportion (the threshold of risk factor is 0.4). When the risk factor increases, the average speed shows the polarization phenomenon with the average speed slowing down in big traffic demand. The proposed model can reflect the relationship among density, flow, and speed, and the risk factor has a significant impact on density and flow.

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