- Vehicle dynamics calculator drivers#
- Vehicle dynamics calculator driver#
- Vehicle dynamics calculator simulator#
Is especially critical in emergency situations. The accurate estimation of sideslip angle is necessary for many vehicle control systems. This work will be an important tool which can be recommended to the regulatory board as a major asset in the road construction policy and also in the improvement of road safety measures.
Vehicle dynamics calculator simulator#
After an experimental research made on the Ndokoti – PK 24 road section we could, thanks to our simulator determine the maximum speed to have at every turn of this road section and also understand the effect of the modification of a vehicle’s center of gravity on its stability. After the particularization of a global model, a simulator was realized named “DYNAUTO SIMULATOR” which iterates the given variables to produce a consistent result. To achieve this, we made used of the fundamental theorems of dynamics for the modeling of the vehicle’s suspended and non-suspended masses and load transfers, then we associated this with the Pacejka Tire model to obtain a complete vehicle model. This paper is aimed at proposing a mathematical model integrating specific parameters, describing the dynamic lateral behavior of a vehicle’s tire and chassis systems and enabling to state a relationship between road characteristics and vehicle dynamics. Regulatory experts on road users have constantly been working for ways to solve this problem and thence better the lives of the citizens. Road security has become with time a topic of concern in our society as per the increasing number of accidents and deaths occurring on the highways. The results can potentially be applied for the deployment of autonomous vehicles in solutions grouped under the term of Logistics 4.0. The results of the paper may be applied in the planning and implementation of packing and cargo securing procedures to calculate average lateral acceleration acting on vehicle and cargo based on turning radius and speed for vehicles up to 3.5 t GVM.
The models of calculation of lateral acceleration are valid with mean RMSE of 0.022 g and 0.016 g for both methods of automatic selection of events. The models of calculation of turning radius are valid for turning radius within 5–70 m for both methods of automatic selection of events with mean root mean square error (RMSE) 1.88 m and 1.32 m. The two methods for automatic selection of events were applied based on stable lateral acceleration value and on mean square error (MSE) of turning radiuses.
Global Navigation Satellite System with Inertial Navigation System (GNSS/INS) dual-antenna sensor is used to measure acceleration, speed, and vehicle position to determine the turning radius and determine the proper formula to calculate long average lateral acceleration acting on vehicle and cargo. In this article, we address the determination of turning radius and lateral acceleration acting on a vehicle up to 3.5 t gross vehicle mass (GVM) and cargo in curves based on turning radius and speed. Information about the result of this evaluation (be it steering action or saccade) could be the basis of a warning signal that is readily understood by the computer of a self-driving car.
Vehicle dynamics calculator driver#
We conclude that tracking cognitive variables of the human driver means that we can utilize the outstanding power of the brain to evaluate external stimuli. We found earlier detection of emergency based on steering wheel data, than based on vehicle trajectory data. We used one-class SVM to detect emergency behaviour in both steering and vehicle trajectory data. Occasionally, they had to react to dangerous roadside stimuli by large steering movements. We used data from a simulator experiment, where 21 participants slalomed between road bumps in a virtual reality environment. We demonstrate that such risk detection can identify danger earlier than an external sensor would, based on the behaviour of the human-driven vehicle. In the current paper, we propose a cognitive warning system that utilizes information collected from the behaviour of the human driver and sends warning signals to self-driving cars in case of human related emergency.
Vehicle dynamics calculator drivers#
However, presumably there will be a time when human drivers and self-driving cars would share the same roads. Technological development brings increasingly closer the era of widely available self-driving cars.
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