An Improved Car‐Following Model Accounting for Impact of Strong Wind

Liu, Dawei; Shi, Zhongke; Ai, Wenhuan

doi:10.1155/2017/4936490

Cited by 10 publications

(9 citation statements)

References 50 publications

(60 reference statements)

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“…When the wind becomes great enough, drivers have to adjust the speed of their vehicles to avoid the impact of it. On the grounds of the analysis of the impact of strong wind in a car-following model [45], we further explore the impact of wind in a lattice model. Moreover, the effect of optimal estimation of flux difference integral [46] has not been researched in the wind.…”

Section: Methods: the Modified Modelmentioning

confidence: 99%

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Impact of Strong Wind and Optimal Estimation of Flux Difference Integral in a Lattice Hydrodynamic Model

Liu¹,

Wang²

2021

Mathematics

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A modified lattice hydrodynamic model is proposed, in which the impact of strong wind and the optimal estimation of flux difference integral are simultaneously analyzed. Based on the control theory, the stability condition is acquired through linear analysis. The modified Korteweg-de Vries (mKdV) equation is derived via nonlinear analysis, in order to express a description of the evolution of density waves. Then, numerical simulation is conducted. From the simulation results, strong wind can largely influence the traffic flow stability. The stronger the wind becomes, the more stable the traffic flow is, to some extent. Similarly, the optimal estimation of flux difference integral also contributes to stabilizing traffic flow. The simulation results show no difference compared with the theoretical findings. In conclusion, the new model is able to make the traffic flow more stable.

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Section: Methods: the Modified Modelmentioning

confidence: 99%

“…Kwon [44] reported that traffic accidents may occur due to the wind force. The effect of strong wind was studied by Liu [45]. The research results of a study applying a car-following model suggest that strong wind is advantageous for the stability of traffic flow.…”

Section: Introductionmentioning

confidence: 99%

Impact of Strong Wind and Optimal Estimation of Flux Difference Integral in a Lattice Hydrodynamic Model

Liu¹,

Wang²

2021

Mathematics

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“…Another example of recent studies presents how local weather conditions affect real-time traffic flows both spatially and temporally [10]. A completely different idea to investigate the topic next, the authors have been checking the effect of strong wind on dynamic characteristic of traffic flow to improve car-following model and explore fuel consumption [11].…”

Section: Road Traffic Conditionsmentioning

confidence: 99%

“…Wind is a good example in that this factor (like speed) has an additional important attribute, which is direction. Liu & et al uses three components of wind force, lift force and side force preparing improved car-following model and during fuel consumption analyses [11] [20]. Related to the wind and visibility factors but not obvious for the population of moderate zones is the phenomenon of sandstorms.…”

Section: Weather Conditionsmentioning

confidence: 99%

A Review of Approaches to the Study of Weather's Effect on Road Traffic Parameters

Jarmuż¹,

Chmiel²

2020

Transport Problems

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The paper describes selected research achievements into the effect of weather on road traffic from the perspective of various combinations of traffic characteristics and meteorological conditions. Studies to date have focused on different traffic parameters and changes in them as a consequence of weather variety. In making a comparative analysis, researchers identify the optimal weather conditions for road traffic and driver perception. Research in this field is conducted using a variety of data resources, backgrounds, and methodologies. The review of papers shows that results may be strongly dependent on the subject region (especially the climate zone), human behavior, and the legal framework (e.g., speed restrictions). However, the local view is important as well, and information regarding specific road attributes should not be overlooked. Comparison of the results of individual studies can be problematic owing to the myriad of different methodologies, so the description of any analysis of weather's effect on road traffic parameters must include detailed information about the researcher's specific approach to the problem as the following paragraphs of the paper advocate.

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“…Such mixed traffic flow is likely to be realistic in the near future and its string stability becomes importation topic in traffic flow theory. Many studies [17][18][19][20][21][22][23][24][25][26][27][28][29][30][31][32][33][34] have been conducted to analyze the impacts of CACC vehicles on traffic flow stability. From the perspective of analytical investigation, we found that there are two major approaches for analytical investigation of string stability of the mixed traffic flow in the previous studies.…”

Section: Introductionmentioning

confidence: 99%

String Stability Analysis of Mixed CACC Vehicular Flow With Vehicle-to-Vehicle Communication

Qin

Liu

2020

IEEE Access

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This paper focuses on traffic scenarios randomly mixed with cooperative adaptive cruise control (CACC) vehicles and manual vehicles with vehicle-to-vehicle (V2V) communication. The analytical investigation of string stability of such mixed traffic flow is conducted under different CACC penetration rates. The parametric sensitivity analysis on CACC desired time-gap is also studied. Moreover, numerical simulation is conducted under both open and periodic boundary conditions. Research results indicate that increase of CACC vehicles is helpful for improving the mixed traffic flow string stability. The mixed flow will be stable for all possible velocities if CACC rate reaches to 0.64 when the CACC time-gap is considered as 0.6s. Larger CACC time-gap would have more stable regions in string stability charts with respect to equilibrium velocity and CACC penetration rate. This paper contributes to a new way for analytical investigation of string stability of the mixed CACC traffic flow.

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An Improved Car‐Following Model Accounting for Impact of Strong Wind

Cited by 10 publications

References 50 publications

Impact of Strong Wind and Optimal Estimation of Flux Difference Integral in a Lattice Hydrodynamic Model

Impact of Strong Wind and Optimal Estimation of Flux Difference Integral in a Lattice Hydrodynamic Model

A Review of Approaches to the Study of Weather's Effect on Road Traffic Parameters

String Stability Analysis of Mixed CACC Vehicular Flow With Vehicle-to-Vehicle Communication

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