雜志介紹

Journal Of Intelligent Transportation Systems雜志介紹

《Journal Of Intelligent Transportation Systems》是一本以English為主的未開放獲取國際優秀期刊，中文名稱智能交通系統雜志，本刊主要出版、報道工程技術-TRANSPORTATION SCIENCE & TECHNOLOGY領域的研究動態以及在該領域取得的各方面的經驗和科研成果，介紹該領域有關本專業的最新進展，探討行業發展的思路和方法，以促進學術信息交流，提高行業發展。該刊已被國際權威數據庫SCIE、SSCI收錄，為該領域相關學科的發展起到了良好的推動作用，也得到了本專業人員的廣泛認可。該刊最新影響因子為2.8，最新CiteScore 指數為8.8。

本刊近期中國學者發表的論文主要有：

• A hybrid autoregressive fractionally integrated moving average and nonlinear autoregressive neural network model for short-term traffic flow prediction

  Author: Xu, Xuecai; Jin, Xiaofei; Xiao, Daiquan; Ma, Changxi; Wong, S. C.

• Stabilizing mixed cooperative adaptive cruise control traffic flow to balance capacity using car-following model

  Author: Qin, Yanyan; Wang, Hao

• New fuel consumption model considering vehicular speed, acceleration, and jerk

  Author: Zhang, Licheng; Peng, Kun; Zhao, Xiangmo; Khattak, Asad J.

• A two-stage trajectory planning model for cooperative truck platooning on freeways

  Author: Zhou, Tao; Zheng, Fangfang; Liu, Xiaobo; Fan, Zhichen

英文介紹

Journal Of Intelligent Transportation Systems雜志英文介紹

The Journal of Intelligent Transportation Systems is devoted to scholarly research on the development, planning, management, operation and evaluation of intelligent transportation systems. Intelligent transportation systems are innovative solutions that address contemporary transportation problems. They are characterized by information, dynamic feedback and automation that allow people and goods to move efficiently. They encompass the full scope of information technologies used in transportation, including control, computation and communication, as well as the algorithms, databases, models and human interfaces. The emergence of these technologies as a new pathway for transportation is relatively new.

The Journal of Intelligent Transportation Systems is especially interested in research that leads to improved planning and operation of the transportation system through the application of new technologies. The journal is particularly interested in research that adds to the scientific understanding of the impacts that intelligent transportation systems can have on accessibility, congestion, pollution, safety, security, noise, and energy and resource consumption.

The journal is inter-disciplinary, and accepts work from fields of engineering, economics, planning, policy, business and management, as well as any other disciplines that contribute to the scientific understanding of intelligent transportation systems. The journal is also multi-modal, and accepts work on intelligent transportation for all forms of ground, air and water transportation. Example topics include the role of information systems in transportation, traffic flow and control, vehicle control, routing and scheduling, traveler response to dynamic information, planning for ITS innovations, evaluations of ITS field operational tests, ITS deployment experiences, automated highway systems, vehicle control systems, diffusion of ITS, and tools/software for analysis of ITS.