Current Issue : October - December Volume : 2018 Issue Number : 4 Articles : 5 Articles
The 3-DOF rollover model has been established by the Lagrangian second-class equation, taking the road inclination angle, the\nsteering strategy, and the hydropneumatic suspension characteristics into consideration. A 3-layer BP (backpropagation) neural\nnetwork is applied to predict the road inclination angle and to optimize the rollover model in real-time.The number of the hidden\nlayer neurons for the BP network is also discussed.The numerical calculation of the optimized rollover model is in good agreement\nwith the full-scale vehicle test. Different rollover indexes are compared, and the results indicate that the rollover index of dynamic\nLTR optimized by the BP neural network can evaluate the rollover tendencymore accurately in the ramp steering test and the snake\nsteering test. This study provides practical meanings for developing a rollover warning system....
Vehicular ad hoc networks (VANETs) have been studied intensively due to their wide variety of applications and services, such as\npassenger safety, enhanced traffic efficiency, and infotainment.With the evolution of technology and sudden growth in the number\nof smart vehicles, traditional VANETs face several technical challenges in deployment and management due to less flexibility,\nscalability, poor connectivity, and inadequate intelligence. Cloud computing is considered a way to satisfy these requirements\nin VANETs. However, next-generation VANETs will have special requirements of autonomous vehicles with high mobility, low\nlatency, real-time applications, and connectivity, which may not be resolved by conventional cloud computing. Hence, merging\nof fog computing with the conventional cloud for VANETs is discussed as a potential solution for several issues in current and\nfuture VANETs. In addition, fog computing can be enhanced by integrating Software-Defined Network (SDN), which provides\nflexibility, programmability, and global knowledge of the network. We present two example scenarios for timely dissemination of\nsafety messages in future VANETs based on fog and a combination of fog and SDN. We also explained the issues that need to be\nresolved for the deployment of three different cloud-based approaches....
The key for location-based service popularization in vehicular environment is security and efficiency. However, due to the\nconstrained resources in vehicle-mounted system and the distributed structure of fog computation, disposing of the conflicts\nbetween real-time implementation and user�s privacy remains an open problem. Aiming at synchronously preserving the position\ninformation for users as well as the data proprietorship of service provider, an efficient location-based querying scheme is proposed\nin this paper. We argue that a recent scheme proposed by Jannati and Bahrak is time-consuming and vulnerable against active\nadaptive corruptions. Thus accordingly, a postquantum secure oblivious transfer protocol is devised based on efficient NTRU\ncryptosystem, which then serves as the understructure of a complete location-based querying scheme in ad hoc manner. The\nsecurity of our scheme is proved under universal composability frame, while performance analysis is also carried out to testify\nits efficiency....
The ERTMS (European Train Management System) has been developed by\nthe European Union (EU) to enhance safety, increase efficiency and to\ncross-border interoperability creating a unique solution fulfilling a standardized\ncertification process. The ERTMS being able to automatically stop the train to\novercome human errors has achieved the highest track record in terms of\nsafety over several billion km travelled each years. GNSS positioning,\nbearer-independent telecoms and ATO (Automatic Train Operation) are the\nnew features for enhancing the ERTMS in the path to fully autonomous\noperations. In the same period, the automotive industry has launched\nambitious plans for the connected cars and autonomous driving applications\nare emerging as the next wave of innovation. This paper evaluates the challenges\nto sharing intelligent infrastructure means, by combining the strengths\nof the safety benchmark achieved on the rail transport with the mass production\ncapability of the automotive industry to lower the costs. In this scenario,\nrail and automotive becoming tightly intertwined can get a grip in the race\ntowards a fully automation affordable and safe, giving birth to autonomous\nvehicles able to travel within virtual rails as ââ?¬Å?trainsââ?¬Â on the road. To this aim\nwe will introduce the two test bed in Italy respectively for validating the\nERTMS with GNSS positioning and public telecoms networks and for testing\nFCA Ducato vans to operate at SAE level 3 automation exploiting the new\nGALILEO and 5 G services....
The article deals an innovative device presented in the patent application PCT\nRU 2017000589, the mechanism for optimization of the work and coordination\nof the internal combustion engine with transfer of energy to the driving\nwheels. An original way of incorporating transmission elements through a\ndifferential to which the rotational energy is transmitted is proposed. When\nthe engine energy is transmitted, the transmission ratio and torque are automatically\nadjusted, depending on the load on the output shaft....
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