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作者:

Chen, Yanyan (Chen, Yanyan.) (学者:陈艳艳) | Wang, Zhenhua (Wang, Zhenhua.)

收录:

EI Scopus

摘要:

ITS can make the effective use of the existing transportation infrastructure, so that the traffic flow can effectively be distributed in time and space. Using ITS can reduce traffic accidents, ease traffic congestion, shorten the travel time, reduce traffic pollution and improve urban transportation management level. In the paper, the key technology of the car road cooperative technology is been researched, the model which is built in this paper be determined as data prediction model which is belonged to the traffic information processing module internal of the car road cooperative system. Construct the early warning model that based on the car road cooperative technology, and the input and output parameters of the model then be determined, evaluation index which is used to analysis the reasonableness of the model and accuracy of the prediction results. Do the model simulation experiment which is combined with calculating examples, do the comparative analysis of the simulation experiment results. The calculating results show that the model been build has higher accuracy than the traditional model, by calculating evaluation index such as the model correlation coefficient, that the model be built in the paper can be used as the warning model which is based on the condition of the car road cooperative technology. © 2016, UK Simulation Society. All rights reserved.

关键词:

Accident prevention Intelligent systems Intelligent vehicle highway systems MATLAB Motor transportation Roads and streets Traffic congestion Traffic control Transportation Travel time Urban transportation

作者机构:

  • [ 1 ] [Chen, Yanyan]Beijing Key Laboratory of Traffic Engineering, Beijing University of Technology, 100 Ping Le Yuan Chaoyang District, Beijing, China
  • [ 2 ] [Wang, Zhenhua]Beijing Key Laboratory of Traffic Engineering, Beijing University of Technology, 100 Ping Le Yuan Chaoyang District, Beijing, China

通讯作者信息:

  • 陈艳艳

    [chen, yanyan]beijing key laboratory of traffic engineering, beijing university of technology, 100 ping le yuan chaoyang district, beijing, china

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来源 :

International Journal of Simulation: Systems, Science and Technology

ISSN: 1473-8031

年份: 2016

期: 4

卷: 17

页码: 9.1-9.6

被引次数:

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