中文簡介

《智能交通系統(tǒng)雜志》致力于對智能交通系統(tǒng)的開發(fā)、規(guī)劃、管理、運行和評估進行學術研究。智能交通系統(tǒng)是解決當代交通問題的創(chuàng)新解決方案。它們的特點是信息、動態(tài)反饋和自動化，使人和貨物能夠高效移動。它們包括用于交通運輸?shù)娜�部信息技術，包括控制、計算和通信，以及算法、數(shù)據(jù)庫、模型和人機界面。這些技術作為一種新的交通方式的出現(xiàn)是相對較新的。《智能交通系統(tǒng)雜志》特別關注通過應用新技術改進交通系統(tǒng)規(guī)劃和運行的研究。該雜志特別感興趣的研究，增加了科學理解的影響，智能交通系統(tǒng)可以有無障礙，擁堵，污染，安全，安全，噪音，能源和資源消耗。該雜志是跨學科的，并接受來自工程、經(jīng)濟、規(guī)劃、政策、商業(yè)和管理等領域的工作，以及任何其他有助于科學理解智能交通系統(tǒng)的學科。期刊也是一家多式聯(lián)運公司，接受各種形式的地面、空中和水上運輸?shù)闹悄苓\輸工作。示例主題包括信息系統(tǒng)在交通、交通流和控制、車輛控制、路線和調度中的作用、出行者對動態(tài)信息的反應、創(chuàng)新計劃、現(xiàn)場運行測試評估、部署經(jīng)驗、自動公路系統(tǒng)、車輛控制系統(tǒng)、交通流和控制的擴散以及分析ITS的工具/軟件。《智能交通系統(tǒng)雜志》歡迎提交調查/綜述文章，總結和組織智能交通系統(tǒng)特定領域的最新研究成果。一篇調查文章應該以一種方式綜合一個主題領域的知識，不僅可以提供對分散材料的快速訪問，還可以增加對該領域工作的理解。鼓勵采用綜合不同研究結果的元分析技術。理想情況下，一篇調查文章也應該發(fā)展一個對研究人員和從業(yè)者有用的未來視角。調查文章的作者應該有一份關于主題領域的示范研究記錄。希望有興趣編寫調查文章手稿的作者，請與審查論文副主編劉亨利教授（henry liu@umn.edu）或期刊編輯阿薩德·卡塔克教授（a khattak@odu.edu）聯(lián)系，并附上標題和摘要，以及證明相關專業(yè)知識的簡歷。《智能交通系統(tǒng)雜志》上刊登的所有文章都經(jīng)過嚴格的同行評審，評審的基礎是最初的編輯篩選，至少有兩位匿名同行評審員提供了評論。

　　英文簡介

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. The Journal of Intelligent Transportation Systems welcomes submissions of survey/overview articles that summarize and organize recent research results in a particular area of intelligent transportation systems. A survey article should synthesize the knowledge of a topic area in a way that not only offers rapid access to scattered materials, but also adds understanding to work in the field. Meta analysis techniques that integrate results from different studies are encouraged. Ideally, a survey article should also develop a future perspective that is useful to researchers and practitioners. The authors of a survey article should have a demonstrated research record on the topic area. Authors interested in preparing a manuscript of survey articles are encouraged to contact the associate editor for review papers, Prof. Henry Liu (henryliu@umn.edu) or the journal editor, Prof. Asad Khattak (akhattak@odu.edu) with a title and a brief abstract, along with a CV demonstrating relevant expertise. All articles appearing in the Journal of Intelligent Transportation Systems undergo a rigorous peer review, based on initial editor screening and at least two anonymous peer reviewers providing comments.

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