Experimental study of the vehicle dynamics behavior during lane changing in different speeds

In this paper a vehicle dynamics control system is designed to compensate the change in vehicle handling dynamics of lightweight vehicles due to variation in loading conditions and the effectiveness of the proposed design is verified by simulations and an experimental study using a fixed-base driving simulator. Considering the electrification of future mobility, the target vehicle of this research is a lightweight vehicle equipped with in-wheel motors that can generate an additional direct yaw moment by transverse distribution of traction forces to control vehicle yawing as well as side slip motions. Previously, the change in vehicle handling dynamics for various loading conditions have been analyzed by using a linear two-wheel vehicle model in planar motion and a control law of the DYC system based on feed-forward of front steering angular velocity and feedback of vehicle yaw rate. The feed-forward controller is derived based on the model following control with approximation of the vehicle dynamics to 1st-order transfer function. To make the determination of the yaw rate feedback gain model-based and adaptable to various vehicle velocity conditions, this paper selects a method where the yaw rate feedback gain in the DYC system is determined in a way that the steady-state yaw rate gain of the controlled loaded vehicle matches the gain of the unloaded vehicle. The DYC system is simulated in a single lane change maneuver to confirm the improved responsiveness of the vehicle while simulations of a double-lane change maneuver with a driver steering model confirms the effectiveness of the DYC system to support tracking control. Finally, the effectiveness of the proposed DYC system is also verified in an experimental study with ten human drivers using a fix-based driving simulator.

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Experimental Study on a Test Stand for Magnetically Levitated Vehicle Dynamics Evaluation

TRANSACTIONS OF THE JAPAN SOCIETY OF MECHANICAL ENGINEERS Series C ◽

10.1299/kikaic.79.507 ◽

2013 ◽

Vol 79 (799) ◽

pp. 507-518 ◽

Cited By ~ 3

Author(s):

Shuichiro OTA ◽

Toshiaki MURAI ◽

Hiroshi YOSHIOKA ◽

Yoshiaki TERUMICHI

Keyword(s):

Experimental Study ◽

Vehicle Dynamics ◽

Test Stand ◽

Magnetically Levitated

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Experimental study and analytical model of bleed valve orifice influence of a high-performance shock absorber on vehicle dynamics

Advances in Mechanical Engineering ◽

10.1177/1687814017719004 ◽

2017 ◽

Vol 9 (9) ◽

pp. 168781401771900 ◽

Cited By ~ 3

Author(s):

JL Chacón ◽

BL Boada ◽

MJL Boada ◽

V Díaz

Keyword(s):

Experimental Study ◽

Analytical Model ◽

Vehicle Dynamics ◽

High Performance ◽

Shock Absorber ◽

Valve Orifice

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Risk Assessment of Rollover and Skidding due to Pavement Roughness and Differential Settlement for Enhancing Transportation Safety

Journal of Advanced Transportation ◽

10.1155/2021/7244283 ◽

2021 ◽

Vol 2021 ◽

pp. 1-15

Author(s):

Lu Sun ◽

Luchuan Chen ◽

Yanna Yin ◽

Yao Tian ◽

Xuanyu Zhang

Keyword(s):

Vehicle Dynamics ◽

Safety Margin ◽

Differential Settlement ◽

Transportation Safety ◽

Lane Changing ◽

Pavement Maintenance ◽

Pavement Roughness ◽

Vehicle Rollover ◽

Surrogate Measures ◽

General Method

In this paper, a closed-loop simulation of vehicle dynamics in CarSim is utilized as surrogate measures to study the effect of pavement roughness and differential settlement on risk of vehicle rollover and skidding. It is found that the influence of pavement roughness on vehicle rollover is significant and the influence of pavement roughness on vehicle skidding is insignificant. The influence of pavement roughness of grade A and B on safety margin of vehicle rollover can be negligible. Pavement roughness of grade C and D significantly reduces the safety margin of vehicle rollover. A 5 cm settlement difference on pavement reduces the safety margin of vehicle skidding on a good road. When the settlement difference is 5 cm, the vehicle rollover and skidding are greatly affected by the lane-changing speed. It provides an effective and general method based on vehicle dynamics for studying transportation safety as well as for setting up criteria for pavement maintenance.

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Driver's car-following and lane-changing models: An experimental study

2011 IEEE 18th International Conference on Industrial Engineering and Engineering Management ◽

10.1109/icieem.2011.6035571 ◽

2011 ◽

Author(s):

Fan-xing Meng ◽

Wei Zhang ◽

Jun Wang

Keyword(s):

Experimental Study ◽

Lane Changing ◽

Car Following

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The Impact of Traffic Environmental Vision Pressure on Driver Behaviour

Journal of Advanced Transportation ◽

10.1155/2018/4941605 ◽

2018 ◽

Vol 2018 ◽

pp. 1-12 ◽

Cited By ~ 1

Author(s):

Yi Li ◽

Yuren Chen ◽

Fan Wang

Keyword(s):

Vehicle Dynamics ◽

Positive Relationship ◽

Field Tests ◽

Physical Processes ◽

Pressure Source ◽

Driver Behaviour ◽

Lane Changing ◽

Car Following ◽

Vehicle Data ◽

The Impact

Car-following (CF) and lane-changing (LC) behaviours are basic components in driving process. Previous models described them as physical processes with vehicle dynamics and physical criteria. However, drivers’ decisions are greatly influenced by their subjective vision information of various traffic environment elements. To solve this problem, we propose a new concept of traffic environmental vision pressure to explain these two behaviours. The pressure source consists of two parts: nearby vehicles and infrastructures. Pressure models were built to quantify the impact of traffic and roadside infrastructures on these two behaviours. 103 field tests (53 LC and 50 CF) carried out by 40 drivers were conducted to test and calibrate the models. Drivers’ psychological data and vehicle data were collected and postprocessed. Results showed positive relationship between drivers’ psychological stress and vision pressure, which verified the assumption that traffic environmental vision information would have certain effect on driver behaviour. Quantitative thresholds of pressure value were also given and explained with test data. It is concluded that the traffic environmental vision pressure in CF and LC behaviours is quite different, and higher pressure has more impact on behaviour change. We believe that these results will be helpful to study the micro driver behaviour.

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Use of GPS/INS Devices for Experimental Study of Vehicle Dynamics

Proceedings of the European Automotive Congress EAEC-ESFA 2015 ◽

10.1007/978-3-319-27276-4_31 ◽

2015 ◽

pp. 337-347

Author(s):

Dinu Covaciu ◽

Ion Preda ◽

Dragoş-Sorin Dima ◽

Anghel Chiru

Keyword(s):

Experimental Study ◽

Vehicle Dynamics

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Advisory Lane-Changing Assistant at Vehicle Incidents with Connected Vehicles

Transportation Research Record Journal of the Transportation Research Board ◽

10.1177/0361198119849055 ◽

2019 ◽

Vol 2673 (10) ◽

pp. 595-609 ◽

Cited By ~ 3

Author(s):

Hao Yang ◽

Ken Oguchi

Keyword(s):

Sensitivity Analysis ◽

Traffic Congestion ◽

Vehicle Dynamics ◽

Connected Vehicles ◽

Connected Vehicle ◽

Market Penetration ◽

Lane Changing ◽

Lane Changes ◽

Road Congestion ◽

Driving Assistance

Vehicle incidents on roads result in lane closure and severe traffic congestion, and the frequent mandatory lane changes of the upstream vehicles generate capacity drops ahead of the incidents, which further increase road congestion. With the development of connected vehicles, vehicle incidents can be detected by individual vehicles, and immediate driving assistance can be provided to help them pass the incidents efficiently. This paper proposes a distributed lane-changing assistant (DLCA) system with connected vehicles to advise individual vehicles with the optimal lanes to pass incidents with smaller delays. The system introduces connected vehicles to detect the location and the lane closure information of an incident and broadcast the information to the upstream connected vehicles. To determine the optimal lane for each connected vehicle, a speed index is defined for each lane based on the incident information and the downstream connected vehicle dynamics. The DLCA system is evaluated with a microscopic traffic simulator, INTEGRATION, to illustrate its benefits in improving the performance of individual vehicles and mitigating road congestion. A sensitivity analysis of market penetration rates and demand levels of connected vehicles is also conducted in this paper. The results indicate that the DLCA system can reduce the delay by about 22.1% for the connected vehicles, and it has higher benefits on improving the performance of the entire road at higher market penetration rates. In addition, there exists an optimal demand level to maximize the benefits of the system.

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