Car-following characteristics of various vehicle types in respective driving phases

Nagahama, Akihito; Yanagisawa, Daichi; Nishinari, Katsuhiro

doi:10.1080/21680566.2019.1710002

Cited by 8 publications

(6 citation statements)

References 32 publications

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“…Aiming at the special mixed traffic flow in India, where diverse vehicles are of very different size and dynamics and lane discipline is usually ignored, Asaithambi et al [81] tested five traditional car-following models' performance when describing this kind of traffic flow. Nagahama et al [82] utilized the decision tree method to analyze the field data and discussed the car-following characteristics of motorcycles, cars, and trucks in three car-following states: accelerating, stable following, and decelerating. The results reveal that there are differences in many indexes, such as acceleration, relative velocity, and headway, of car-following behavior in the aforementioned processes.…”

Section: Direct Consideration Of Vehicle Type Impactsmentioning

confidence: 99%

Modeling the Car-Following Behavior with Consideration of Driver, Vehicle, and Environment Factors: A Historical Review

Han

Wang

2022

Sustainability

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Car-following behavior is the result of the interaction of various elements in the specific driver-vehicle-environment aggregation. Under the intelligent and connected condition, the information perception ability of vehicles has been significantly enhanced, and abundant information about the driver-vehicle-environment factors can be obtained and utilized to study car-following behavior. Therefore, it is necessary to comprehensively take into account the driver-vehicle-environment factors when modeling car-following behavior under intelligent and connected conditions. While there are a considerable number of achievements in research on car-following behavior, a car-following model with comprehensive consideration of driver-vehicle-environment factors is still absent. To address this gap, the literature with a focus on car-following behavior research with consideration of the driver, vehicle, or environment were reviewed, the contributions and limitations of the previous studies were analyzed, and the future exploration needs and prospects were discussed in this paper. The results can help understand car-following behavior and the traffic flow characteristics affected by various factors and provide a reference for the development of traffic flow theory towards smart transportation systems and intelligent and connected driving.

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Section: Direct Consideration Of Vehicle Type Impactsmentioning

confidence: 99%

Modeling the Car-Following Behavior with Consideration of Driver, Vehicle, and Environment Factors: A Historical Review

Han

Wang

2022

Sustainability

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“…Thus, new energy vehicles should be listed as a separate type of vehicle when modeling car-following behavior. According to previous studies [18,22,26,[37][38][39], the car-following behavior characteristics of the subject vehicle when the preceding vehicle is a heavy vehicle or a new energy vehicle are summarized as shown in the following contents (to be concise, heavy vehicles are denoted as H-V, and new energy vehicles are denoted as NE-V).…”

Section: Car-following Behavior Characteristics Analysismentioning

confidence: 99%

“…Utilizing aerial data, Ossen and Hoogendoorn analyzed the characteristics of heavy vehicles' car-following behavior [22]. Other field data sets, respectively collected in India [23][24][25], Japan [26] and Australia [27] were employed to recognize and analyze the difference in car-following behavior between various types of vehicle pairs. Additionally, the questionnaire investigation method was employed by Kong et al, to study the impacts of trucks on the car-following behavior of normal vehicle drivers [28].…”

Section: Introductionmentioning

confidence: 99%

“…H-Vs will show significantly different driving characteristics from normal vehicles due to different physical and dynamic characteristics, even without considering the restrictions of traffic laws and rules. According to the previous research [18,22,26], due to large inertia and low power, H-Vs tend to adopt stable and conservative driving strategies and take slower actions when the driving state needs to be changed. To be specific, H-Vs tend to take larger headway, lower relative velocity, and lower acceleration/deceleration.…”

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confidence: 99%

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Research on the Impacts of Vehicle Type on Car-Following Behavior, Fuel Consumption and Exhaust Emission in the V2X Environment

et al. 2022

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The type of vehicles in realistic traffic systems are not homogeneous. Impacts of the preceding vehicle’s type on the car-following behavior, fuel consumption and exhaust emissions are still unclear. This paper presents a study on the impacts of two types of preceding vehicles, heavy vehicles and new energy vehicles, on car-following behavior, traffic flow characteristics, fuel consumption and exhaust emissions. Firstly, an extended car-following model was proposed by incorporating the influence of the preceding vehicle’s type. Secondly, impacts of the preceding vehicle’s type on platoon stability were analyzed by applying linear stability theory. Finally, numerical simulations were carried out to analyze impacts of the preceding vehicles’ type on the characteristics of the car-following platoon, traffic flow operation, and vehicle’s fuel consumption and exhaust emissions. The results reveal that, compared with the normal preceding vehicle, there are negative impacts of the heavy and new-energy preceding vehicles on the platoon stability, traffic flow operation, and vehicle’s fuel consumption and exhaust emissions, and these impacts are related to the corresponding sensitivity parameters and the penetration percentages of the two types of preceding vehicle. The research results of this paper can provide a reference for understanding car-following behavior and traffic-flow characteristics affected by the type of preceding vehicles in the V2X environment.

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“…In this section, 80% of the collected data is used to calibrate the proposed model, and the remaining 20% is used for the validation. Please note that different types of vehicles should have different parameters for the car-following model [46][47][48]. However, the traffic pattern at the surveyed site is uniform.…”

Section: Model Calibration and Validationmentioning

confidence: 99%

Modelling the operation of vehicles at signalised intersections with special width approach lane based on field data

Zhao

Kigen

Wang

2020

IET intell. transp. syst

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The intersection with special width approach lane (SWAL) is a newly proposed unconventional intersection design. A microscopic traffic flow model was proposed for describing the operation of vehicles at signalized intersections with SWAL. The operation process of driving on the SWAL was divided into four segments, including entering segment, transition segment, special width lane segment, and exiting segment. The car-following and lane selection behaviours of vehicles in these segments are analysed. The parameters used in the model were calibrated using the field data collected in Germany. The proposed model was realized in a time-discretized simulation. The sensitivity analysis of geometric, traffic, and signal factors were conducted. The results show that for the car-following behaviour, the passenger cars on the narrowed lanes cannot drive as efficient as on the normal width lane. For lane selection behaviour, it mainly depends on the distance between the two nearest vehicles in front on the two narrow lanes. The effectiveness of the SWAL depends on whether it is long enough to accommodate the queuing vehicles, which is a combined result of the layout design and the signal timing.

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Car-following characteristics of various vehicle types in respective driving phases

Cited by 8 publications

References 32 publications

Modeling the Car-Following Behavior with Consideration of Driver, Vehicle, and Environment Factors: A Historical Review

Modeling the Car-Following Behavior with Consideration of Driver, Vehicle, and Environment Factors: A Historical Review

Research on the Impacts of Vehicle Type on Car-Following Behavior, Fuel Consumption and Exhaust Emission in the V2X Environment

Modelling the operation of vehicles at signalised intersections with special width approach lane based on field data

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