IEEE Transactions on Vehicular Technology (IEEE T VEH TECHNOL)

Publisher: Vehicular Technology Society; Institute of Electrical and Electronics Engineers; IEEE Vehicular Technology Group, Institute of Electrical and Electronics Engineers

Journal description

Land, airborne, and maritime mobile services; portable or hand-carried and citizens' communications services, when used as an adjunct to a vehicular system; vehicular electrotechnology, equipment, and systems ordinarily identified with the automotive industry, excluding systems associated with public transit.

Current impact factor: 2.64

Impact Factor Rankings

2015 Impact Factor Available summer 2015
2013 / 2014 Impact Factor 2.642
2012 Impact Factor 2.063
2011 Impact Factor 1.921
2010 Impact Factor 1.485
2009 Impact Factor 1.488
2008 Impact Factor 1.308
2007 Impact Factor 1.191
2006 Impact Factor 1.071
2005 Impact Factor 0.86
2004 Impact Factor 0.611
2003 Impact Factor 0.861
2002 Impact Factor 1.22
2001 Impact Factor 0.776
2000 Impact Factor 0.735
1999 Impact Factor 0.902
1998 Impact Factor 0.67
1997 Impact Factor 0.812
1996 Impact Factor 0.769
1995 Impact Factor 0.627
1994 Impact Factor 0.796
1993 Impact Factor 1.095
1992 Impact Factor 0.879

Impact factor over time

Impact factor
Year

Additional details

5-year impact 2.02
Cited half-life 4.90
Immediacy index 0.25
Eigenfactor 0.03
Article influence 0.80
Website IEEE Transactions on Vehicular Technology website
Other titles IEEE transactions on vehicular technology, Transactions on vehicular technology, Vehicular technology
ISSN 0018-9545
OCLC 1644964
Material type Periodical, Internet resource
Document type Journal / Magazine / Newspaper, Internet Resource

Publisher details

Institute of Electrical and Electronics Engineers

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    • Author can archive a pre-print version
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    • Publisher's version/PDF cannot be used
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  • Classification
    ​ green

Publications in this journal

  • IEEE Transactions on Vehicular Technology 08/2015; DOI:10.1109/TVT.2015.2472989
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    ABSTRACT: With fast growth of wireless services, secrecy has become an increasingly important issue for wireless networks. In this paper, we investigate the secrecy capacity of the primary system in a cognitive radio system based on artificial noise, which has been proposed for dealing with the eavesdropper. We first consider a special case of one eavesdropper and two regimes of the eavesdropping channel condition. Specifically, we analyze the impact of interference generated by a secondary system toward the primary system in a cognitive radio system. The channel state information (CSI) of the primary channel is assumed to be perfectly known at both the primary transmitter and receiver, whereas that of the eavesdropper is partially known. Under these assumptions, we derive analytical expressions for the ergodic secrecy capacity in the cases of strong eavesdropping channel and weak eavesdropping channel and analyze the impact of the secondary system on the primary ergodic secrecy capacity. Moreover, we extend the analysis to the general case of arbitrary eavesdropping channel condition and arbitrary number of eavesdroppers. Some numerical results will be also presented to verify the analysis.
    IEEE Transactions on Vehicular Technology 08/2015; 64(8):3834-3843. DOI:10.1109/TVT.2014.2359246
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    ABSTRACT: Economical and environmentally friendly geocast (EEFG) uses traffic signals to communicate with approaching vehicles. The communication can be signal-to-vehicle (TLS2V) and vehicle-to-vehicle (V2V). Based on the information sent, the vehicle receiving the message adapts its speed to a recommended speed , which helps the vehicle reduce fuel consumption and emissions. Our previous paper entitled “Optimization of Fuel Cost and Emissions Using V2V Communications” develops a model to determine the optimum . It also proposes heuristic expressions to compute the optimum or near-optimum .
    IEEE Transactions on Vehicular Technology 08/2015; 64(8):3783-3789. DOI:10.1109/TVT.2014.2358943
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    ABSTRACT: The Viterbi algorithm (VA) is a maximum-likelihood method used to decode convolutional codes with the minimum average number of bit errors. In the case of decoding errors, the receiver can request a retransmission of a message by means of an automatic repeat request (ARQ) scheme until it receives the message correctly. Here, we present an alternative approach to reduce decoding errors by deploying a scheme of multiple-attempt decoding (MAD) at the receiver over fading channels. This procedure is deployed only if the frame is found erroneous in the first attempt. It starts with dividing the received sequence into multiple sections and erasing a symbol from each section. The resultant sequence is then decoded and checked through cyclic redundancy check (CRC). If CRC fails, this algorithm resumes by deleting a different set of symbols and retaining the previous set of deleted symbols. These procedures stop if the CRC passes or the maximum number of attempts has been exhausted. The proposed method requires no change in specifications of the transmitter and the hardware at the receiver. Significant gain margins are observed in the frame error rate (FER) at the cost of only a slight increase in software complexity.
    IEEE Transactions on Vehicular Technology 08/2015; 64(8):3426-3439. DOI:10.1109/TVT.2014.2359886
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    ABSTRACT: Eigenvalue-based methods have been widely investigated for multiantenna blind spectrum sensing in cognitive radio (CR). However, most of them are formulated in the framework of maximum likelihood (ML) estimation, which is optimal only when the number of samples is much larger than the number of antennas. In relatively small-sample scenarios where the number of antennas is comparable in magnitude to the number of samples, their optimality cannot be guaranteed. Based on the random matrix theory (RMT), an eigenvalue moment ratio (EMR) approach is proposed for spectrum sensing. As the distribution of the EMR statistic in the absence of signals can be precisely determined by the RMT, this approach is able to reliably predict the theoretical threshold. Moreover, as the EMR detector is developed from the RMT perspective and utilizes all the signal eigenvalues for detection, it can be superior to state-of-the-art detection algorithms, particularly for relatively small samples. Furthermore, we derive the asymptotic distribution of the EMR statistic in the presence of signals and analyze the theoretical detection probability of the EMR approach. Additionally, the EMR statistic is calculated via the Frobenius inner product and matrix trace operations instead of the eigenvalue decomposition (EVD), which offers computational efficiency. Simulation results are presented to illustrate the superiority of the EMR approach and confirm our theoretical calculation.
    IEEE Transactions on Vehicular Technology 08/2015; 64(8):3465-3480. DOI:10.1109/TVT.2014.2359217
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    ABSTRACT: A ticket dispenser (TD) is used to assist customers with the waiting process in, e.g., a restaurant. This paper deploys a mobile TD system (MTDS) with waiting time prediction to enhance the user experience while waiting. For example, the MTDS for a restaurant allows a customer to remotely draw a ticket for a meal order anywhere through a smartphone before she/he arrives at the restaurant and therefore reduces her/his waiting time. The developed MTDS system can dynamically adjust the predicted waiting time. We propose two output indicators and develop a discrete-event simulation model to investigate the performance of the predicted time adjustment (PTA) mechanism for the MTDS. With a proper frequency of recalculation for the predicted waiting times, this paper indicates that the waiting times can be more accurately predicted without consuming more wireless network resources and power of mobile devices.
    IEEE Transactions on Vehicular Technology 08/2015; 64(8):3689-3696. DOI:10.1109/TVT.2014.2356644
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    ABSTRACT: This paper investigates cooperative control of a collection of vehicles operating in a vehicular ad hoc network (VANET) with access-constrained fading channels. To establish a systematic methodology, we first formulate and solve the problem for general networked control systems (NCSs) where the sensors communicate with the controller via access-constrained fading channels. By introducing a Markov chain model for the random access protocol of the communication network and modeling the fading for each channel as an independent stochastic process with known probability distribution, we derive a new model of NCSs. Then, based on the new system model, a framework for stability analysis and controller design is developed, which is also extended to a more complicated case in which the transition probabilities of the Markov access protocol are partially unknown. The results are then extended and applied to a platoon of vehicles operating in a VANET. The effectiveness of the obtained method is shown by both numerical simulations and experiments with laboratory-scale Arduino cars.
    IEEE Transactions on Vehicular Technology 08/2015; 64(8):3347-3358. DOI:10.1109/TVT.2014.2360438
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    ABSTRACT: In this paper, we propose a new approach for a robust multirate lane-keeping control scheme with predictive virtual lanes. First, the multirate lane-keeping control scheme is proposed to improve the lane-keeping performance and to reduce the ripple in the yaw rate. To improve the lane-keeping performance on a curved road, the integral of the lateral offset error is added to the state feedback controller. A multirate Kalman filter (KF) has been developed to resolve the problems caused by slow lane detection due to the vision processing system. This multirate KF estimates vehicle states at a fast rate using a microprocessor. Utilizing the estimated states, the linear quadratic state feedback control operates at the same fast update rate of the microprocessor. Thus, a multirate control scheme can reduce the ripple in the yaw rate. Second, we propose a virtual lane prediction method that compensates for the momentary failure of lane detection from unexpected problems. If the camera sensor momentarily fails while obtaining lane information, the predicted virtual lane can be substituted for the lane detection using the camera sensor in the proposed control scheme. Thus, the proposed control scheme can normally operate when the lane information is momentarily unavailable. The performance of the proposed method was evaluated via experiments.
    IEEE Transactions on Vehicular Technology 08/2015; 64(8):3378-3391. DOI:10.1109/TVT.2014.2356204
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    ABSTRACT: In mobile orthogonal frequency-division multiplexing (OFDM) systems, a frequency-domain channel matrix represents the same-carrier channel frequency response in the diagonal and intercarrier interference (ICI) between the subcarriers in the off-diagonals, respectively. A variety of the banded equalizers manipulated the banded approximation of the channel matrix to be exploited by the low-complexity equalizations. In this paper, we derive a simple and tight lower bound on the variance of the individual coefficients in the channel matrix for insights into the banded approximations. We obtain the errors introduced with the banded approximation and the ICI-mitigation gains of the banded equalizers in simple closed forms. The derivations of the banded approximation errors (BAEs) are beneficially applicable to the equalizers that perform the minimum mean square error (MMSE) estimation with the banded channel matrix. Simulations show that both the block MMSE banded equalizers and the block turbo MMSE banded equalizers significantly reduce the error floors by considering the BAEs.
    IEEE Transactions on Vehicular Technology 08/2015; 64(8):3526-3535. DOI:10.1109/TVT.2014.2359233