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"Inventi Impact: Vehicular Technology" is a peer reviewed journal of Engineering & Technology. The journal provides publishing space for the research and review papers and reports related to all the areas of vehicular technology including communications i.e. use of mobile radio on land, sea and air, transportation systems including walkways or people movers, and vehicular electronics. \nThe journal is open to negative reports and provides special consideration for the articles pertaining to mass transit system, system solving the issues of underdeveloped or provincial communities and the ones putting lesser toll on the environment.
This paper presents a new hybrid cascaded H-bridge multilevel inverter motor drive DTC scheme for electric vehicles where each\r\nphase of the inverter can be implemented using a single DC source. Traditionally, each phase of the inverter requires ?? DC source\r\nfor 2?? + 1 output voltage levels. In this paper, a scheme is proposed that allows the use of a single DC source as the first DC source\r\nwhich would be available from batteries or fuel cells, with the remaining (?? - 1) DC sources being capacitors. This scheme can\r\nsimultaneously maintain the capacitors of DC voltage level and produce a nearly sinusoidal output voltage due to its high number\r\nof output levels. In this context, high performances and efficient torque and flux control are obtained, enabling a DTC solution for\r\nhybrid multilevel inverter powered induction motor drives intended for electric vehicle propulsion. Simulations and experiments\r\nshow that the proposed multilevel inverter and control scheme are effective and very attractive for embedded systems such as\r\nautomotive applications....
To analyze the psychological impacts of the introduction of new portable electric transportation modes, we implemented an\r\nexperiment using a personal mobile vehicle (PMV). We investigated its effects on 2 types of the subjective quality of mobility\r\n(SQM): instrumental aspects including Ã¢â?¬Å?easinessÃ¢â?¬Â and Ã¢â?¬Å?speedÃ¢â?¬Â: and affective aspects including Ã¢â?¬Å?enjoyment,Ã¢â?¬Â Ã¢â?¬Å?seeing scenery,Ã¢â?¬Â and\r\nÃ¢â?¬Å?enjoying the atmosphere.Ã¢â?¬Â The result indicated that PMV might contribute to the improvement of the instrumental aspects\r\nof SQM, but walking was regarded as more preferable in terms of the affective aspects. The results suggest that such a new\r\ntransportation mode could contribute to the improvement of subjective quality of mobility, if and only if it can be introduced\r\nin an appropriate situation....
Many leading companies in the automotive industry have been putting tremendous
effort into developing new powertrains and technologies to make their products more energy
efficient. Evaluating the fuel economy benefit of a new technology in specific powertrain systems is
straightforward; and, in an early concept phase, obtaining a projection of energy efficiency benefits
from new technologies is extremely useful. However, when carmakers consider new technology
or powertrain configurations, they must deal with a trade-off problem involving factors such as
energy efficiency and performance, because of the complexities of sizing a vehicle’s powertrain
components, which directly affect its energy efficiency and dynamic performance. As powertrains of
modern vehicles become more complicated, even more effort is required to design the size of each
component. This study presents a component-sizing process based on the forward-looking vehicle
simulator “Autonomie” and the optimization algorithm “POUNDERS”; the supervisory control
strategy based on Pontryagin’s Minimum Principle (PMP) assures sufficient computational system
efficiency. We tested the process by applying it to a single power-split hybrid electric vehicle to
determine optimal values of gear ratios and each component size, where we defined the optimization
problem as minimizing energy consumption when the vehicle’s dynamic performance is given as
a performance constraint. The suggested sizing process will be helpful in determining optimal
component sizes for vehicle powertrain to maximize fuel efficiency while dynamic performance is
satisfied. Indeed, this process does not require the engineer’s intuition or rules based on heuristics
required in the rule-based process....
This paper focuses on routing for vehicles getting access to infrastructure either directly or viamultiple hops through other vehicles.\nWe study routing protocol for low-power and lossy networks (RPL), a tree-based routing protocol designed for sensor networks.\nMany design elements from RPL are transferable to the vehicular environment. We provide a simulation performance study of\nRPL and RPL tuning in VANETs. More specifically, we seek to study the impact of RPLÃ¢â?¬â?¢s various parameters and external factors\n(e.g., various timers and speeds) on its performance and obtain insights on RPL tuning for its use in VANETs. We then fine tune\nRPL and obtain performance gain over existing RPL....
Analysing shortest path for real time traffic environment is crucial with dynamic updating. VANET technology can be used for\nanalysing traffic but generates a huge amount of data to be exchanged, which demands more processing power and resources.\nIn this paper, a new histogram-based route guidance algorithm (HBA) has been proposed based on light weight processing. The\nproposed algorithm enables selecting the shortest path between any source and destination using the histogram models, which\ncapture the higher order distribution function of the number vehicles in every lane. Furthermore, the histogram model is used to\nestimate the traffic delays at intersections and roundabouts.Thedata entity collection through sensors used for histogrammodelling\nis presented in detail.The experimental results show that the proposed algorithm provides a good prediction of road traffic status\nand a better solution for the congestion problem in the urban areas....
In this paper, a real-time online data-driven adaptive method is developed to\ndeal with uncertainties such as high nonlinearity, strong coupling, parameter\nperturbation and external disturbances in attitude control of fixed-wing unmanned\naerial vehicles (UAVs). Firstly, a model-free adaptive control (MFAC)\nmethod requiring only input/output (I/O) data and no model information is\nadopted for control scheme design of angular velocity subsystem which contains\nall model information and up-mentioned uncertainties. Secondly, the\ninternal model control (IMC) method featured with less tuning parameters\nand convenient tuning process is adopted for control scheme design of the\ncertain Euler angle subsystem. Simulation results show that, the method developed\nis obviously superior to the cascade PID (CPID) method and the\nnonlinear dynamic inversion (NDI) method....
Driver face monitoring system is a real-time system that can detect driver fatigue and distraction using machine vision approaches. In this paper, a new approach is introduced for driver hypovigilance (fatigue and distraction) detection based on the symptoms related to face and eye regions. In this method, face template matching and horizontal projection of top-half segment of face image are used to extract hypovigilance symptoms from face and eye, respectively. Head rotation is a symptom to detect distraction that is extracted from face region. The extracted symptoms from eye region are (1) percentage of eye closure, (2) eyelid distance changes with respect to the normal eyelid distance, and (3) eye closure rate. The first and second symptoms related to eye region are used for fatigue detection; the last one is used for distraction detection. In the proposed system, a fuzzy expert system combines the symptoms to estimate level of driver hypo-vigilance. There are three main contributions in the introduced method: (1) simple and efficient head rotation detection based on face template matching, (2) adaptive symptom extraction from eye region without explicit eye detection, and (3) normalizing and personalizing the extracted symptoms using a short training phase. These three contributions lead to develop an adaptive driver eye/face monitoring. Experiments show that the proposed system is relatively efficient for estimating the driver fatigue and distraction....
Off-road intelligent vehicle is an important application about Internet of Vehicles technology used in the transportation field, and\nthe front obstacle recognition method is the key technology for off-road intelligent vehicle. In this paper, based on smart data\naggregation inspired paradigm of IoT applications, we mainly study perception technology in vehicle networking by using image\ndata and one symmetrical speeded-up robust features detector (SURF). By considering symmetry and image data aggregation, we\nfound that data aggregation had the ability of providing global information for Internet of Vehicles systems. After we have built\nthe experiment platform, the experiment results showed that this method is faster than Scale-Invariant Feature Transform\nalgorithmin this case, which can satisfy the water detection accuracy and the real-time requirement. So, thismethod is effective for\nthe water images detection with great symmetry to off-road intelligent vehicle, and it also gives a useful reference about environment\nperception technology and smart data aggregation inspired paradigm used in future Internet of Vehicles, intelligent\nvehicle, and traffic safety applications....
The ultra-compact electric vehicle has recently experienced increasing popularity for\nshort-distance travel. However, one of the issues with ultra-compact electric vehicles is that although\nthe engine is silent, exterior road and wind noise have a significant impact on the occupantâ??s comfort\nin the interior space. We propose an ANC system whereby a kind of small actuator is installed on the\nroof of an ultra-compact electric vehicle. In this paper, we consider the noise control effects of using a\ngiant magnetostrictive actuator and conduct an experimental study on feed-forward and feedback\ncontrol systems....
Public Bicycle System (PBS) has been developed for short-distance transportation as a part of the mass transportation system. The supply and demand of bikes in PBS is usually unbalanced at different stations and needs to be continuously and widely monitored and redistributed. The bicycle redistribution is a part of the vehicle routing problem (VRP). We can apply solutions to the VRP to redistribute bicycle efficiently. However, most solutions to the VRP use the Euclidean distance as the condition factor, which does not take road conditions, traffic regulations, and geographical factors into account, resulting in unnecessary waste of delivery time and human resources. In this work, we propose an actual path distance optimization method for the VRP to adapt the several additional constraints of road problems. We also implement a system that integrates real-time station information, Web GIS, the urban road network, and heuristics algorithms for PBS. The system includes a simulator inside that can assist PBS managers to do the route planning efficiently and find the best scheduling strategy to achieve hotspot analysis and the adjustment of station deployment strategies to reduce PBS operation cost....
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