IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS(英文缩写 IEEE T INTELL TRANSP),ISSN 1524-9050,eISSN 1558-0016 是一本学术期刊。本页汇总该期刊的最新影响因子、分区信息以及最新收录于 PubMed 的文献,帮助您快速了解期刊全貌。

发文量统计区间：2025-09-21 至 2026-09-21，按本站收录文献的发表日期统计。

指标来源：jcr_cas_ifqb

历年影响因子趋势

IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS 最新收录文献

1. JCR分区: Q1 CAS分区: B2 影响因子: 9.1

   1. A Deep-Learning Approach to Detect and Classify Heavy-Duty Trucks in Satellite Images.

   PMID:

   40727422

   作者:

   Xingwei Liu, Yiqiao Li, Langting Sizemore, Xiaohui Xie, Jun Wu

   期刊:

   IEEE transactions on intelligent transportation systems : a publication of the IEEE Intelligent Transportation Systems Council PubMed

   DOI:

   10.1109/tits.2024.3431452

   日期:

   2024-10-01

   Heavy-duty trucks serve as the backbone of the supply chain and have a tremendous effect on the economy. However, they severely impact the environment and public health. This study presents a novel truck detection framework by combining satellite imagery with Geographic Information System (GIS)-base…

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2. JCR分区: Q1 CAS分区: B2 影响因子: 9.1

   2. Deep Reinforcement Learning Assisted Beam Tracking and Data Transmission for 5G V2X Networks.

   PMID:

   38449573

   作者:

   Junliang Ye, Hamid Gharavi

   期刊:

   IEEE transactions on intelligent transportation systems : a publication of the IEEE Intelligent Transportation Systems Council PubMed

   DOI:

   10.1109/tits.2023.3272548

   日期:

   2023-01-01

   Beam tracking is a core issue in 5G vehicle-to-everything (V2X) networks. Specifically, higher beamforming gain is required to compensate for the path loss at higher frequencies, e.g., 5G FR2, to realize high data rate vehicle-toinfrastructure (V2I) communications. However, shorter time slots at hig…

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3. JCR分区: Q1 CAS分区: B2 影响因子: 9.1

   3. Digital Twins in Unmanned Aerial Vehicles for Rapid Medical Resource Delivery in Epidemics.

   PMID:

   36789134

   作者:

   Zhihan Lv, Dongliang Chen, Hailin Feng, Hu Zhu, Haibin Lv

   期刊:

   IEEE transactions on intelligent transportation systems : a publication of the IEEE Intelligent Transportation Systems Council PubMed

   DOI:

   10.1109/TITS.2021.3113787

   日期:

   2022-12-01

   The purposes are to explore the effect of Digital Twins (DTs) in Unmanned Aerial Vehicles (UAVs) on providing medical resources quickly and accurately during COVID-19 prevention and control. The feasibility of UAV DTs during COVID-19 prevention and control is analyzed. Deep Learning (DL) algorithms …

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4. JCR分区: Q1 CAS分区: B2 影响因子: 9.1

   4. Routing and Rebalancing Intermodal Autonomous Mobility-on-Demand Systems in Mixed Traffic.

   PMID:

   37124136

   作者:

   Salomón Wollenstein-Betech, Mauro Salazar, Arian Houshmand, Marco Pavone, Ioannis Ch Paschalidis, Christos G Cassandras

   期刊:

   IEEE transactions on intelligent transportation systems : a publication of the IEEE Intelligent Transportation Systems Council PubMed

   DOI:

   10.1109/tits.2021.3112106

   日期:

   2022-08-01

   This paper studies congestion-aware route-planning policies for intermodal Autonomous Mobility-on-Demand (AMoD) systems, whereby a fleet of autonomous vehicles provides on-demand mobility jointly with public transit under mixed traffic conditions (consisting of AMoD and private vehicles). First, we …

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5. JCR分区: Q1 CAS分区: B2 影响因子: 9.1

   5. Optimizing Living Material Delivery During the COVID-19 Outbreak.

   PMID:

   36345290

   作者:

   Tianhong Zhao, Wei Tu, Zhixiang Fang, Xiaofan Wang, Zhengdong Huang, Shengwu Xiong, Meng Zheng

   期刊:

   IEEE transactions on intelligent transportation systems : a publication of the IEEE Intelligent Transportation Systems Council PubMed

   DOI:

   10.1109/TITS.2021.3061076

   日期:

   2022-07-01

   The coronavirus disease 2019 (COVID-19) epidemic has spread worldwide, posing a great threat to human beings. The stay-home quarantine is an effective way to reduce physical contacts and the associated COVID-19 transmission risk, which requires the support of efficient living materials (such as meat…

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6. JCR分区: Q1 CAS分区: B2 影响因子: 9.1

   6. Error Measures for Trajectories Estimations with Geo-tagged Mobility Sample Data.

   PMID:

   32699534

   作者:

   Mohsen Parsafard, Guangqing Chi, Xiaobo Qu, Xiaopeng Li, Haizhong Wang

   期刊:

   IEEE transactions on intelligent transportation systems : a publication of the IEEE Intelligent Transportation Systems Council PubMed

   DOI:

   10.1109/TITS.2018.2868182

   日期:

   2019-07-01

   Although geo-tagged mobility data (e.g., cell phone data and social media data) can be potentially used to estimate individual space-time travel trajectories, they often have low sample rates that only tell travelers' whereabouts at the sparse sample times while leaving the remaining activities to b…

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7. JCR分区: Q1 CAS分区: B2 影响因子: 9.1

   7. Cooperative Vehicular Networking: A Survey.

   PMID:

   29881331

   作者:

   Ejaz Ahmed, Hamid Gharavi

   期刊:

   IEEE transactions on intelligent transportation systems : a publication of the IEEE Intelligent Transportation Systems Council PubMed

   DOI:

   10.1109/TITS.2018.2795381

   日期:

   2018-03-01

   With the remarkable progress of cooperative communication technology in recent years, its transformation to vehicular networking is gaining momentum. Such a transformation has brought a new research challenge in facing the realization of cooperative vehicular networking (CVN). This paper presents a …

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8. JCR分区: Q1 CAS分区: B2 影响因子: 9.1

   8. Accelerated Evaluation of Automated Vehicles Safety in Lane-Change Scenarios Based on Importance Sampling Techniques.

   PMID:

   27840592

   作者:

   Ding Zhao, Henry Lam, Huei Peng, Shan Bao, David J LeBlanc, Kazutoshi Nobukawa, Christopher S Pan

   期刊:

   IEEE transactions on intelligent transportation systems : a publication of the IEEE Intelligent Transportation Systems Council PubMed

   DOI:

   10.1109/TITS.2016.2582208

   日期:

   2017-03-01

   Automated vehicles (AVs) must be thoroughly evaluated before their release and deployment. A widely used evaluation approach is the Naturalistic-Field Operational Test (N-FOT), which tests prototype vehicles directly on the public roads. Due to the low exposure to safety-critical scenarios, N-FOTs a…

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9. JCR分区: Q1 CAS分区: B2 影响因子: 9.1

   9. Gap Acceptance During Lane Changes by Large-Truck Drivers-An Image-Based Analysis.

   PMID:

   26924947

   作者:

   Kazutoshi Nobukawa, Shan Bao, David J LeBlanc, Ding Zhao, Huei Peng, Christopher S Pan

   期刊:

   IEEE transactions on intelligent transportation systems : a publication of the IEEE Intelligent Transportation Systems Council PubMed

   DOI:

   10.1109/TITS.2015.2482821

   日期:

   2016-03-01

   This paper presents an analysis of rearward gap acceptance characteristics of drivers of large trucks in highway lane change scenarios. The range between the vehicles was inferred from camera images using the estimated lane width obtained from the lane tracking camera as the reference. Six-hundred l…

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10. JCR分区: Q1 CAS分区: B2 影响因子: 9.1

    10. Automatic Calibration Method for Driver's Head Orientation in Natural Driving Environment.

    PMID:

    24639620

    作者:

    Xianping Fu, Xiao Guan, Eli Peli, Hongbo Liu, Gang Luo

    期刊:

    IEEE transactions on intelligent transportation systems : a publication of the IEEE Intelligent Transportation Systems Council PubMed

    DOI:

    10.1109/TITS.2012.2217377

    日期:

    2012-09-21

    Gaze tracking is crucial for studying driver's attention, detecting fatigue, and improving driver assistance systems, but it is difficult in natural driving environments due to nonuniform and highly variable illumination and large head movements. Traditional calibrations that require subjects to fol…

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