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: 1.98

Impact Factor Rankings

2015 Impact Factor Available summer 2016
2014 Impact Factor 1.978
2013 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

Additional details

5-year impact 2.48
Cited half-life 5.20
Immediacy index 0.31
Eigenfactor 0.04
Article influence 1.02
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

  • Pre-print
    • Author can archive a pre-print version
  • Post-print
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    • Author's Post-print - Publisher copyright and source must be acknowledged with citation (see above set statement)
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    • Publisher's version/PDF cannot be used
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  • Classification
    ​ green

Publications in this journal

  • [Show abstract] [Hide abstract]
    ABSTRACT: Driving a car in an urban setting is an extremely difficult problem, incorporating a large number of complex visual tasks; yet, this problem is solved daily by most adults with little apparent effort. This article proposes a novel vision based approach to autonomous driving that can predict and even anticipate a driver’s behaviour in real-time, using preattentive vision only. Experiments on three large datasets totalling over 200,000 frames show that our pre-attentive model can: 1) detect a wide range of driving-critical context such as crossroads, city centre and road type; however, more surprisingly it can 2) detect the driver’s actions (over 80% of braking and turning actions); and 3) estimate the driver’s steering angle accurately. Additionally, our model is consistent with human data: first, the best steering prediction is obtained for a perception to action delay consistent with psychological experiments. Importantly, this prediction can be made before the driver’s action. Second, the regions of the visual field used by the computational model correlate strongly with the driver’s gaze locations, significantly outperforming many saliency measures and comparably to stateof-the-art approaches.
    IEEE Transactions on Vehicular Technology 12/2015;
  • [Show abstract] [Hide abstract]
    ABSTRACT: This correspondence proposes a new rotated codebook for three-dimensional (3D) multi-input-multi-output (MIMO) system under spatially correlated channel. To avoid the problem of high dimensionality led by large antenna array, the rotation matrix in the rotated codebook is proposed to be decomposed by Tucker decomposition into three lowdimensional units, i.e., statistical channel direction information in horizontal and vertical directions respectively, and statistical channel power in the joint horizontal and vertical direction. A closed-form suboptimal solution is provided to reduce the computational complexity in Tucker decomposition. The proposed codebook has a significant dimension reduction from conventional rotated codebooks, and is applicable for 3D MIMO system with arbitrary form of antenna array. Simulation results demonstrate that the proposed codebook works very well for various 3D MIMO systems.
    IEEE Transactions on Vehicular Technology 09/2015; DOI:10.1109/TVT.2015.2483905
  • [Show abstract] [Hide abstract]
    ABSTRACT: With the explosive growth of mobile demand, small cells in millimeter wave (mmWave) bands underlying the macrocell networks have attracted intense interest from both academia and industry. MmWave communications in the 60 GHz band are able to utilize the huge unlicensed bandwidth to provide multiple Gbps transmission rates. In this case, device-to-device (D2D) communications in mmWave bands should be fully exploited due to no interference with the macrocell networks and higher achievable transmission rates. In addition, due to less interference by directional transmission, multiple links including D2D links can be scheduled for concurrent transmissions (spatial reuse). With the popularity of content-based mobile applications, popular content downloading in the small cells needs to be optimized to improve network performance and enhance user experience. In this paper, we develop an efficient scheduling scheme for popular content downloading in mmWave small cells, termed PCDS (popular content downloading scheduling), where both D2D communications in close proximity and concurrent transmissions are exploited to improve transmission efficiency. In PCDS, a transmission path selection algorithm is designed to establish multi-hop transmission paths for users, aiming at better utilization of D2D communications and concurrent transmissions. After transmission path selection, a concurrent transmission scheduling algorithm is designed to maximize the spatial reuse gain. Through extensive simulations under various traffic patterns, we demonstrate PCDS achieves near-optimal performance in terms of delay and throughput, and also superior performance compared with other existing protocols, especially under heavy load.
    IEEE Transactions on Vehicular Technology 09/2015; DOI:10.1109/TVT.2015.2466656
  • IEEE Transactions on Vehicular Technology 09/2015; DOI:10.1109/TVT.2015.2477078