Driver's Handling Research Articles

ERGONOMIC DESIGN OF CAB STRUCTURE FOR WHEELED COMBINE HARVESTER

In view of the fact that the design of the cab structure of wheeled combine harvesters in China lacks ergonomic design parameters exclusive for Chinese drivers, there are generally problems such as high vibration and poor comfort of the whole machine structure during the harvesting process. Firstly, this paper designed the cab structure of a wheeled grain combine harvester based on ergonomics. Then, the driver's handling comfort and visibility were simulated and analyzed using Creo. Finally, the relevant dimensions of the driver's control device were optimized. The results show that the wheeled grain combine harvester cab based on ergonomic design better meets their driving comfort needs. In addition, it is found that the operating frequencies of the key components, such as the main shaft of the conveyor spindle, the vibrating screen, the threshing drum, and the intermediate shaft of the engine, partially overlap with the frequency of human discomfort. Therefore, modal planning is also needed for this harvester to meet human comfort requirements better. This paper provides the basic parameters for the design of the cab structure of the combine harvester with high comfort for the Chinese harvesting machinery driver.

Investigation on the influence of side slip angle to the driver's handling behavior

This paper describes the drivers steering behavior affected by the vehicle side slip angle during changing lanes. In order to investigate the influence of the sideslip angle to driver's steering behavior, driving simulator is employed to realize various vehicles with different side slip characteristics. We prepared three specifications, i.e. yaw rate and side-slip angle generate in the same direction, the opposite direction, and side-slip angle is kept to zero. In this study, we used two type second order prediction model. The one is the second order prediction by yaw rate and side-slip angle. Another one is the second order prediction by only yaw rate. And we discussed the effect of side-slip angle on the driver's forward prediction with compared the two prediction models.

21403 車体横滑り角と車線変更しやすさの関係について

21403 車体横滑り角と車線変更しやすさの関係について

Speed-Tracking Driver Model Used in Hardware-in-Loop Simulation

An Incremental Structure of Speed-Tracking Driver Model was Developed by Using PID and Fuzzy Compound Control, and the Actual Driver's Handling Features and the Application of Hardware-in-Loop Simulation had been Fully Considered in this Model. Operation Delay, Shifting Coordination, Anti-Saturation of Integral, Zero-Speed Correction and Pre-Compensation Control were Proposed. the merits and demerits were Studied with Different Control Methods. the Results Show that Better Overshoot and Steady Accuracy are Obtained by PID and Fuzzy Control, and it’s the Several Correction Modules that make the Driver Model more Approximate to Real Driving Characteristics and more Conducive to the Practical Application of Hardware-in-Loop Simulation.

1303 車体横すべり角が操舵に与える影響について(OS4 接触問題とトライボロジ,オーガナイズド・セッション(OS))

1303 車体横すべり角が操舵に与える影響について(OS4 接触問題とトライボロジ,オーガナイズド・セッション(OS))

101 車体横すべり角が操舵に与える影響について(一般講演,学術講演)

101 車体横すべり角が操舵に与える影響について(一般講演,学術講演)

A Pattern-Recognition Approach for Driving Skill Characterization

Information about a driver's driving skill can be used to adapt vehicle control parameters to facilitate the specific driver's needs in terms of vehicle performance and safety. This paper presents an approach to driving skill characterization from a pattern-recognition perspective. The basic idea is to extract patterns that reflect the driver's driving skill level from the measurements of the driver's behavior and the vehicle response. The experimental results demonstrate the feasibility of using a pattern-recognition approach to characterize a driver's handling skill. This paper concludes with the discussions of the challenges and future works to bring the proposed technique to practical use.

Effects of a Simulation-Based Training Intervention on Novice Drivers' Hazard Handling Performance

Objectives: Young novice drivers are overrepresented in crash rates during their first few months of driving. The dramatic drop afterwards implies that some important skills of safe driving are learned during this period. In an attempt to help novice drivers acquire higher-order perceptual and cognitive skills for safe driving, a training intervention based on driving simulation was developed, tested, and evaluated. Methods: Eight virtual driving scenarios (four equivalent and four analogical) were developed for road hazard handling training, and another eight scenarios were developed for subsequent formal testing. Two groups of novice drivers were recruited to test and compare their road hazard handling performance. The trained group received training treatment 6 weeks before testing, whereas the untrained group had no prior training except a basic driving skill exercise. The comprehensive training intervention included simulated driving in eight virtual scenarios, then feedback of their own hazard handling performance, and finally watching the playback video of an experienced driver's handling of each road hazard. Results: Road hazard handling performance scores were significantly higher for the trained group and the training effect was greater for equivalent scenarios than for analogical ones. The trained drivers anticipated potential hazards in advance to a larger extent than the untrained, as indicated by both earlier speed reduction and subjective self-report data when approaching the hazards. Subjective mental workload of the trained drivers was significantly lower in completing the simulated driving task. Conclusions: The tested comprehensive training intervention has shown positive effects in improving novice drivers' abilities to anticipate, recognize, and deal with hazards in simulated driving. Performance of the trained drivers with different starting levels converged to a relatively high level after training.

Vehicle-handling quality evaluation through model-based driver steering behaviour

This study proposes a method to evaluate vehicle-handling quality based on the steering characteristics that are identified by a simple driver model using measured time histories of steering behaviour and vehicle motion during lane change. On the basis that drivers adapt to the vehicle-handling characteristics during a manoeuvre, their steering behaviour reflects the vehicle-handling characteristics and plays an important role in the evaluation of handling quality. Thus, the handling parameters in the model indicate the handling quality of the vehicle. This method is applied successfully to investigate the effects of the active front-wheel steering and direct yaw moment control on driver's handling quality evaluation of the vehicles.