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Integrated vehicle and crew scheduling: an overview  [PDF]
Bruno de Athayde Prata
Sistemas & Gest?o , 2009,
Abstract: This paper presents a bibliographical review about vehicle and crew scheduling problem which is applicable in the optimization of public transportation systems. The traditional sequential approaches are presented. The most relevant mathematical models for the integrated approach are exposed. Finally, resolution approaches for the integrated problem,based on heuristics, branch-and-bound, lagrangean relaxation, columns generation and meta-heuristics are presented.
Demonstration of an Aerial and Submersible Vehicle Capable of Flight and Underwater Navigation with Seamless Air-Water Transition  [PDF]
Marco M. Maia,Parth Soni,Francisco J. Diez
Computer Science , 2015,
Abstract: Bio-inspired vehicles are currently leading the way in the quest to produce a vehicle capable of flight and underwater navigation. However, a fully functional vehicle has not yet been realized. We present the first fully functional vehicle platform operating in air and underwater with seamless transition between both mediums. These unique capabilities combined with the hovering, high maneuverability and reliability of multirotor vehicles, results in a disruptive technology for both civil and military application including air/water search and rescue, inspection, repairs and survey missions among others. The invention was built on a bio-inspired locomotion force analysis that combines flight and swimming. Three main advances in the present work has allowed this invention. The first is the discovery of a seamless transition method between air and underwater. The second is the design of a multi-medium propulsion system capable of efficient operation in air and underwater. The third combines the requirements for lift and thrust for flight (for a given weight) and the requirements for thrust and neutral buoyancy (in water) for swimming. The result is a careful balance between lift, thrust, weight, and neutral buoyancy implemented in the vehicle design. A fully operational prototype demonstrated the flight, and underwater navigation capabilities as well as the rapid air/water and water/air transition.
Integrated and Seamless Services for Active Aging, a Model for Zhuhai  [PDF]
H. C. J. Wong, Y. F. Ng, X. L. Yuan
Journal of Biosciences and Medicines (JBM) , 2014, DOI: 10.4236/jbm.2014.26007

The Aging Tsunami as it is often quoted to describe the worrying situations of rapidly aging in China has not met with detail planning in facilities upgrade and careful consideration in service models. Broad brushed central policies categorizes services into home care, community care and institutional care and set policy goals at 90-6-4, representing the percentage of older people in receiving respective care. This leaves local officials helpless on how these ideals can be actualized. Some cities have inclined to build huge older people homes and pour resources into institutional care, forgetting the need for older people to be connected with the society. This paper reviews the historical developments of older people services in Hong Kong and recommends an integrative model of social work services connecting institutional, community and home care into a seamless network. The city of Zhuhai will be presented as a perfect experimental city on how its existing facilities can be converted and developed according to the model. Survey on the situations of the 16 public older people homes will be used to illustrate the potentials of an integrative model.

Uncertainty Analysis of Integrated Navigation Model for Underwater Vehicle  [cached]
Zhang Tao,Qi Yong-qi
Research Journal of Applied Sciences, Engineering and Technology , 2013,
Abstract: In this study, to reduce information uncertainty of integrated navigation model for underwater vehicle, we present a multi-sensor information fusion algorithm based on evidence theory. The algorithm reduces attribution by rough set in order to acquire simplified ELMAN neural network and improve basic probability assignment. And then it uses improved D-S evidence to deal with the inaccuracy and fuzzy information, make the final decision. The simulation example shows feasibility and effectiveness of the algorithm.
Advances in Integrated Vehicle Health Monitoring Systems
Debopam Acharya,Hyo-Joo Han
International Journal of Interactive Mobile Technologies (iJIM) , 2011, DOI: 10.3991/ijim.v5i3.1671
Abstract: One of the fastest growing fields of study in defense market currently is Integrated Vehicle Health Monitoring (IVHM). These systems perform collection and analysis of data concerning operating parameters and damage information of vehicles in real-time and periodically send them to the base station for appropriate action. Recent advances in materials and sensor networks and technologies promise development of such systems for land, water, and aerial vehicles. These IVHM systems are of immense use in defense services which require their vehicles and systems to operate normally even under hostile and harsh environments. This work will discuss various issues related to IVHMs and prominent sensor technologies available to build such systems. It will also include the structure of a general purpose IVHM of a vehicle which can be used to monitor its inner operating parameters and damage information of its components.
Zdru eni sistemi GNSS/INS za neprekinjeno navigacijo : Integrated GNSS/INS Systems for Seamless Navigation  [PDF]
Klemen Kozmus Trajkovski
Geodetski Vestnik , 2009,
Abstract: SI: Navigacijski sistemi obi ajno temeljijo na sprejemnikih GNSS. lanek predstavlja trenutno stanje sistemov GNSS, navigacijo s tehnologijami GNSS in opisuje GPS-navigacijske instrumente. Nekatere naloge zahtevajo neprekinjeno navigacijo, esar ne moremo zagotoviti samo z uporabo GNSS-navigacije. Sistem za neprekinjeno navigacijo dopolnjujejo inercialni navigacijski sistemi. Predstavljene so osnove inercialne navigacije, opisane so inercialne merilne enote,navedeni tipi IMU in tipi ni pogre ki inercialnih senzorjev. Predstavljeni sta dve metodi obdelave podatkov zdru enih sistemov GNSS/INS, tradicionalni Kalmanov filter in umetne nevronske mre e, ki po nekaterih raziskavah dosegajo bolj e rezultate kot Kalmanov filter. Omenjeni sta e dve dodatni mo nosti za izbolj anje ali celo zagotovitev neprekinjene navigacije, psevdoliti in irokopasovni radijski valovi. EN: Navigation systems are commonly based on GNSS receivers. The article presents the current status of GNSS, discusses GNSS navigation and describes GPS navigation instruments. Some applications require seamless navigation which cannot be provided byGNSS itself. The system for uninterrupted navigation uses Inertial Navigation System besides GNSS. The bases of inertial navigation, Inertial Measurement Units, types of IMU and typical inertial sensorerrors are presented. The processing of data from an integrated GNSS/INS is usually performed either by a traditional Kalman Filter or an artificial neural network. According to some of the research, the latter performs better than the conventional Kalman Filter.Seamless navigation can be improved or even made possible by the use of pseudolites or Ultra-wide Band.
Modeling and Simulation of integrated steering and braking control for vehicle active safety system
Beibei Zhang,Liang Tong
International Journal of Image, Graphics and Signal Processing , 2011,
Abstract: Active chassis systems like braking, steering, suspension and propulsion systems are increasingly entering the market. In addition to their basic functions, these systems may be used for functions of integrated vehicle dynamics control. An experimental platform which aims to study the integration control of steering and braking is designed due to the research requirement of vehicle active safety control strategy in this paper. A test vehicle which is equipped with the systems of steer-by-wire and brake-bywire is provided and the Autobox, combined with Matlab/simulink and MSCCarsim, is used to fulfill the RCP (Rapid Control Prototyping) and HIL (Hardware-in-loop). The seven-freedom vehicle model is constructed first and the approach of vehicle parameters estimation based on the Extended Kalman Filter (EKF) is proposed. Testing the vehicle state through the sensor has its own disadvantage that the cost is high and easily affected by environment outside. To find a actual method of receiving the vehicle state using the ready-made sensors in vehicle, the researchers put forward various estimation method, of which have advantages and disadvantages. Based on the above, this paper applies the EKF to estimate the vehicle state, making the actual estimation come true. The primary control methods and controller designment is carried out to prove the validation of the platform.
Integrated Position & Velocity Measurement for Smart Vehicle Link  [PDF]
Dipak Mondal,Somnath Maity,Rabindranath Bera,Suman Kumar
International Journal of Soft Computing & Engineering , 2013,
Abstract: This paper addresses the development efforts towards realization of radar based Smart vehicle. Commercial Vehicles with multiple radars has the limitation of more false detection as the detection technology is based on ‘ Skin’ mode of radar[1] operation and the radar receives its transmitted energy after reflection from the body of the target vehicles. The ‘Transponder’ mode of radar operation will definitely improve the false detection leading to CAWAS system (Collision Avoidance and Warning System)[2][3]. The Vehicles will be the ‘friends’ to each other by integrating the local radar mounted on each vehicle with Vehicular Communication. Furthermore, IHCS makes use of facilities to carry out traffic control and transmits the information to drivers and concerned departments, and implements traffic management measures, such as vehicle count, vehicle speed, vehicle range, speed control and so on.
Integrated Framework for Vehicle Interior Design Using Digital Human Model
Moonki Jung,Hyundeok Cho,Taehwan Roh,Kunwoo Lee,
Moonki Jung
,Hyundeok Cho,Taehwan Roh,and Kunwoo Lee

计算机科学技术学报 , 2009,
Abstract: Evaluating the human friendliness of vehicles is essential for designing new vehicles since large numbers of human-machine interactions occur frequently inside vehicles. In this research, we develop an integrated framework for vehicle interior design using a digital human model (DHM). In this framework, the knowledge-based parametric modelling function of vehicles is implemented using a commercial computer-aided design (CAD) system. The combination of the DHM and the CAD system enables designers into carry out ergonomic evaluations of various human-vehicle interactions and understand the effects of modifications of vehicle design parameters on occupants during designing. Further, the information on human-vehicle interaction obtained using this system can be transmitted to dedicated biomechanical analysis software. By analysing human motions inside vehicles using such software, we can obtain optimized interior design parameters.
Nonlinear Analysis and Intelligent Control of Integrated Vehicle Dynamics  [PDF]
C. Huang,L. Chen,H. B. Jiang,C. C. Yuan,T. Xia
Mathematical Problems in Engineering , 2014, DOI: 10.1155/2014/832864
Abstract: With increasing and more stringent requirements for advanced vehicle integration, including vehicle dynamics and control, traditional control and optimization strategies may not qualify for many applications. This is because, among other factors, they do not consider the nonlinear characteristics of practical systems. Moreover, the vehicle wheel model has some inadequacies regarding the sideslip angle, road adhesion coefficient, vertical load, and velocity. In this paper, an adaptive neural wheel network is introduced, and the interaction between the lateral and vertical dynamics of the vehicle is analyzed. By means of nonlinear analyses such as the use of a bifurcation diagram and the Lyapunov exponent, the vehicle is shown to exhibit complicated motions with increasing forward speed. Furthermore, electric power steering (EPS) and active suspension system (ASS), which are based on intelligent control, are used to reduce the nonlinear effect, and a negotiation algorithm is designed to manage the interdependences and conflicts among handling stability, driving smoothness, and safety. Further, a rapid control prototype was built using the hardware-in-the-loop simulation platform dSPACE and used to conduct a real vehicle test. The results of the test were consistent with those of the simulation, thereby validating the proposed control. 1. Introduction When a car is travelling at a high speed, a slight variation of the steering could result in a crash. Moreover, steering instability is primarily caused by the lateral force acting on the steering wheels, which is particularly affected by the sideslip angle [1]. When a vehicle navigates a large radius curve, the change in the sideslip angle is small and linearly related to the change in the lateral force. However, for high lateral accelerations, the wheel characteristic is nonlinear and the lateral force varies nonlinearly, thereby reducing the steering stability [2]. Under these complex conditions and the accompanying uncertainties, there are variations in the vertical load and lateral force acting on the wheel, as well as the longitudinal force of the vehicle. It is therefore necessary to develop an effective nonlinear model and employ more accurate processes such as the use of a neural network model and the sliding mode to achieve control requirements [3–5]. Currently, vehicle dynamics is mostly studied by means of nonlinear dynamics. For example, Wu and Sheng [6] established the phase plane of the sideslip angle and the rate at which it changes, which afforded a better method for the quantitative

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