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Shift schedule affects the optimal performance of engine and driving directly. In this paper, the optimal controller of shift schedule for Dual Clutch Transmission (DCT) is designed based on fuzzy algorithm, because there are the problems of the unexpected shift and the frequent shift in some accidental operation conditions. The throttle opening and the change rate of throttle opening are chosen as...
This paper presents a software platform for monitoring vehicles' CO2 emission in real time. By this platform, drivers can find the relationships between the vehicle CO2 emission amounts and their personal driving habits. Therefore, drivers can adjust their driving habits in real-time when viewing the real-time CO2 emission during the driving process. Besides, the drivers can check their speeds traces...
Dynamic driving simulators have nowadays become common devices in the automotive field, their aim possibly being virtual prototyping, training, medical studies, R&D. A crucial point is the capability of reproducing a driving feeling as realistic as possible to the final user. This is the task of the Motion Cueing Algorithm (MCA), which calculates the motion displacements to be provided to the...
In this paper a model-based design and testing method focusing on the electric vehicle driveability aspect is proposed. The design approach is divided into two steps. The first step is the Model-in-the-Loop co-simulation coupling a vector-controlled electric drive modelled in MATLAB/Simulink to a planar forward-facing electric vehicle LMS Imagine. Lab Amesim model. The second step represents a mechanical-level...
Micro aerial vehicles, such as multirotors, are particularly well suited for autonomous monitoring, inspection, and surveillance, e.g., for doing inventory in large warehouses. Key prerequisites for efficient MAV inventory missions is time- and energy-efficient flight. Generated trajectories must assure the visiting of certain waypoints while preventing large deviations or overshoot, as these can...
Currently, most vehicular parameters, such as speed acceleration and heading, are obtained from GPS data. In this paper our goal is to investigate an alternate source of vehicular information for collision avoidance systems and driver assistance applications, which is more accurate, reliable and has significantly lower time lag. We have implemented an architecture, which enables us to read, analyze,...
This paper introduces an example of real-time “big data” processing systems accelerated by field-programmable gate arrays (FPGAs), which will open up a novel design field for digital circuit engineers. Contrary to the perception that software on commodity servers dominates such large-scale processing requirements, there are various chances for utilizing hardware for the acceleration. One of the most...
Recently autonomously driven vehicle technologies become the potential researches in order to increase road safety, driving comfort, fuel efficiency and so on. This study focuses on the fuel-saving issue in automatic vehicle within the scope of the decision maker layer. An intelligent economic assistance strategy (EAS) is explained and aims to reduce fuel cost when the vehicle is driving autonomously...
We present a cloud-based vehicular data acquisition and analytics system for real-time driver behavior monitoring, trip analysis, and vehicle diagnostic. Our system consists of an On Board Diagnostics (OBD) port to Bluetooth dongle, a mobile app running on a smart phone, and a cloud-based backend. We use a Complex Event Processor (CEP) at both the smart phone and the backend to detect and notify unsafe...
Recently, traffic accident detection is becoming one of the interesting fields due to its tremendous application potential in Intelligent Transportation Systems. In this paper, we present a vision-based real time traffic accident detection method. We intend to extract foreground and background from video shots using the Gaussian Mixture Model (GMM) to detect vehicles; afterwards, the detected vehicles...
A technique capable of identifying electric vehicle (EV) mass in real-time has been a topic of research for several years due to the advantages it presents, such as the ability to dramatically improve range estimates, perform more effective torque vectoring for ABS/ESC, track delivery vehicle weight, etc. Some crucial issues in mass identification impede an easy implementation of such an algorithm,...
The prediction of the driving cycle (vehicle speed profile versus time) and the road grade cycle (road grade profile versus time) can improve a variety of vehicle functions, especially the energy management of HEVs and PHEVs. The variability of the driving conditions (environment) together with the nonlinear and variable driver behaviour (driving style) makes the driving cycle ‘on-board & real-time’...
The studies on energy management and optimization are still at an early stage. The energy management of a fuel cell (FC) hybrid vehicle supported with a storing device such as batteries or supercapacitors, is a challenge. Indeed, regardless of the followed route, the available power must be distributed among the various components, in order to minimize hydrogen consumption and increase their life...
This paper presents an algorithm that permits the calculation of interception maneuvers for quadrocopters. The translational degrees of freedom of the quadrocopter are decoupled. Pontryagin's minimum principle is used to show that the interception maneuver that minimizes the time to rest after the interception is identical to the time-optimal maneuver that drives the vehicle to the position at which...
This article deals with the issue of controlling servomotors in real time. Firstly, it presents the architecture of the control system. The main part discusses two basic types of control curves: (a) trapezoid and (b) S-curve. It compares the main parameters and features for both types and presents the real examples of the control curves both in position and velocity axes. The last part of the article...
In 2010, over 20.3 million vehicles were recalled. Software issues related to automotive controls such as to cruise control, anti-lock braking system, traction control and stability control, account for an increasingly large percentage of the overall vehicles recalled. We have developed AutoPlug, an automotive Electronic Controller Unit (ECU) test-bed to diagnose, test, validate and verify controls...
Measuring control delay at signalized intersections accurately is very important for designing and operating traffic control systems. At present, we usually maintain control delay through observing on the spot or model calculating. However, the control delays obtained by these methods are not accurately and in real time. In the recent years, the development of vehicle infrastructure integration system...
The multi-step coming controlled reference signals are predicted online by the neural network to satisfy the real time requirement of the titling passenger car and the program is achieved. The data from detected is simulated and the conclusion is that the neural network can predict the lateral acceleration of the titling train in the multi-step and what the lag result from all kinds reason may be...
In order to solve the problem of real-time factor and accuracy factor in video image tracking, we present a real-time tracking algorithm of moving vehicle based on feature points. We provide a simple and practical feature points matching algorithm using Adaptive Kalman Filter (AKF). The results of simulation experiments show that the algorithm performs well in fast tracking maneuvering target, which...
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