Journal Of Intelligent Transportation Systems

杂志介绍

Journal Of Intelligent Transportation Systems杂志介绍

《Journal Of Intelligent Transportation Systems》是一本以English为主的未开放获取国际优秀期刊，中文名称智能交通系统杂志，本刊主要出版、报道工程技术-TRANSPORTATION SCIENCE & TECHNOLOGY领域的研究动态以及在该领域取得的各方面的经验和科研成果，介绍该领域有关本专业的最新进展，探讨行业发展的思路和方法，以促进学术信息交流，提高行业发展。该刊已被国际权威数据库SCIE、SSCI收录，为该领域相关学科的发展起到了良好的推动作用，也得到了本专业人员的广泛认可。该刊最新影响因子为2.8，最新CiteScore 指数为8.8。

本刊近期中国学者发表的论文主要有：

• 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

英文介绍

Journal Of Intelligent Transportation Systems杂志英文介绍

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.