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[½»Á÷] Journal of Advanced TransportationÌØ¿¯Õ÷¸å

Journal of Advanced Transportation (SCI, ENGINEERING, CIVIL JCR Q2; TRANSPORTATION SCIENCE & TECHNOLOGY, JCR Q3) Special Issue ¡°Emerging Technologies in Traffic Safety Risk Evaluation, Prevention, and Control¡± ÏÖÒÑÕýʽÉÏÏߣ¬»¶Ó­ÓÐÏà¹ØÑо¿·½ÏòµÄͬÈÊÃÇͶ¸å!

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Journal of Advanced Transportation
  Special Issue on
Emerging Technologies in Traffic Safety Risk Evaluation, Prevention, and Control
  CALL FOR PAPERS
Transportation safety is of increasing societal concern. With the introduction of multimodal transportation modes and emerging in-vehicle safety technology systems, traffic safety risk evaluation, prevention, and control have become more challenging. The major challenge comes when integrating multisource data inputs related to traffic safety, and when identifying traffic safety risks associated with new transportation modes such as bike-sharing and online car-hailing.
Specifically, there is great need for developing new methods to integrate multisource transportation data for developing quantitative measurements of traffic safety risk under various driving/riding scenarios, for evaluating the effectiveness of advanced emergency management and traffic resource allocation technology, and for identifying the safety issues associated with the emerging connected and automated vehicles (CAV) technologies. As a result, current research needs are targeting these areas to explore solutions and develop effective methods to address the related challenges.
This Special Issue should present theoretical innovation and provide engineering application value. Original research and review articles are encouraged to focus on multisource data fusion, risky driving behavior modeling, safety risk analysis and quantitative evaluation of new traffic modes (include shared bikes, online car- hailing), traffic safety risk simulation and dynamic scenario analysis, and emergency rescue and traffic resource allocation. We also welcome original research outcomes and review articles involving the GIS-based and CAV-related traffic safety studies that clarify the current state of the art.
Potential topics include but are not limited to the following:
Emerging methodologies in multisource data fusion and traffic safety risk perception
Traffic crash risk assessment and prevention in multiple dangerous areas
Geographic Information System (GIS) methods used in traffic safety risk analysis and identification
Safety risk analysis and management for new traffic modes (including shared bikes and online car-hailing)
Risky driving behaviors analysis and modeling under different scenarios such as the regular traffic scenario and CAV scenario
Investigation of emerging technologies for traffic safety in the context of CAV
Advanced data analysis methods related to potential traffic crash risk prediction and identification (including risk spread, transfer, and cluster)
Application of advanced simulation technology in traffic safety analysis, risk prevention, and control
Innovative methodologies in traffic emergency management and resource allocation
Authors can submit their manuscripts through the Manuscript Tracking System at https://mts.hindawi.com/submit/journals/jat/ettsr/.
Papers are published upon acceptance, regardless of the Special Issue publication date.
Submission Deadline
Friday, 28 February 2020
Publication Date
July 2020



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