Current Issue : July - September Volume : 2020 Issue Number : 3 Articles : 5 Articles
This study proposes an integrated driving control strategy by taking advantage of the automated driving technology at the individual\nvehicle level and the traffic signal preemption strategy at the traffic infrastructure level. This aims to facilitate an automated drivingbased\nemergency vehicle control and ultimately to achieve efficient and safe control of emergency vehicles. To this end, this study\ndeveloped the integrated emergency vehicle control logic, implemented the logic in the microscopic traffic simulation environment\nusing the simulation softwareâ??s application programming interface capability, and evaluated the impacts of the proposed emergency\nvehicle control logic in the aspects ofmobility and safety with different driving aggressiveness and preemption initiation settings.................................
Aiming at improving the tracking stability performance for intelligent electric vehicles, a novel stability coordinated control\nstrategy based on preview characteristics is proposed in this paper.............................
Facing serious environmental degradation and its resulting of climate warming, how to conserve energy and reduce emissions\nbecomes a serious issue for government supervisors and modern vehicle enterprises. Reducing the mass of a vehicle is one of the\nmost effective ways to reduce emissions and improve fuel utilization, essential to persist the low-carbon and sustainable-development\nbases in industrial production processes. When it comes to the selection of lightweight material for a car body in the\nprocesses of vehicle production, it is essential to comprehensively evaluate multiple relevant attributes in order to select the\noptimal material from several alternatives. Thus, it can be seen as a multicriterion decision-making (MCDM) problem. However,\nit is difficult to consider both the uncertainty of the expertâ??s preference and the imprecision of the attribute estimate. Considering\nthis, this paper uses the method integrating grey relational analysis (GRA) with analytic hierarchy process (AHP) to solve the\nproblem of lightweight material selection for a car body. The AHP method is used to determine the weight of each attribute, and\nthe GRA method is to select the optimal material among several alternatives. Finally, a case study is applied to verify the\npracticability of the proposed approach. The result shows that the proposed multicriterion decision method provides a precise and\nobjective foundation for making decisions about the material selection issue....
An increasing number of vehicles make spectrum resources face serious challenges in vehicular cognitive small-cell networks. The\nmeans of spectrum sharing can greatly alleviate this pressure. In this paper, we introduce a supermodular game theoretic approach\nto analyze the problem of spectrum sharing. The small-cell BS (primary service provider, PSP) and the vehicle (secondary service\nprovider, SSP) can share the spectrum, where the PSP can sell idle spectrum resources to the SSP. This is taken as a spectrum\ntrading market, and a Bertrand competition model is considered to depict this phenomenon. Different PSPs compete with each\nother to maximize their individual profits. The Bertrand competition model can be proved as a supermodular game, and the\ncorresponding Nash equilibrium (NE) solution is provided as the optimal price solution. Hence, an improved genetic simulated\nannealing algorithm is designed to achieve NE. Simulation results demonstrate that the NE point for the price of the primary\nservice provider exists. The change of the exogenous variable is also analyzed on the equilibrium point....
The Internet of Vehicles (IoV) is an important artificial intelligence research field for intelligent transportation applications.\nComplex event interactions are important methods for data flow processing in a Vehicle to Everything (V2X) environment.\nUnlike the classic Internet of Things (IoT) systems, data streams in V2X include both temporal information and spatial information.\nThus, effectively expressing and addressing spatiotemporal data interactions in the IoV is an urgent problem. To solve\nthis problem, we propose a spatiotemporal event interaction model (STEIM). STEIM uses a time period and a raster map for its\ntemporal model and spatial model, respectively. In this paper, first, we provide a spatiotemporal operator and a complete STEIM\ngrammar that effectively expresses the spatiotemporal information of the spatiotemporal event flow in the V2X environment.\nSecond, we describe the design of the operational semantics of the STEIM from the formal semantics. In addition, we provide a\nspatiotemporal event-stream processing algorithm that is based on the Petri net model. The STEIM establishes a mechanism\nfor V2X event-stream temporal and spatial processing. Finally, the effectiveness of the STEIM-based system is\ndemonstrated experimentally....
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