Journal of South China University of Technology (Natural Science Edition) ›› 2017, Vol. 45 ›› Issue (8): 77-83.doi: 10.3969/j.issn.1000-565X.2017.08.012

• Traffic & Transportation Engineering • Previous Articles     Next Articles

Effect of Combination Mode of Traffic Guidance Information on Route Decision-Making

LUO Chen1 LIU Lan1,2   

  1. 1.School of Transportation and Logistics,Southwest Jiaotong University,Chengdu 610031,Sichuan,China; 2.National United Engineering Laboratory of Integrated and Intelligent Transportation,Chengdu 610031,Sichuan,China
  • Received:2016-08-19 Revised:2017-02-21 Online:2017-08-25 Published:2017-07-02
  • Contact: 刘澜(1965-),男,教授,博士生导师,主要从事交通诱导信息发布、交通拥挤研究. E-mail:jianan_l@163.com
  • About author:骆晨(1989-),男,博士生,主要从事交通诱导信息发布策略研究. E-mail:luochenkun@126. com
  • Supported by:
    Supported by the Science and Technology Planning Project of Sichuan Province(2014GZ0019-1)

Abstract: In order to improve the induction efficiency of the guidance information and reveal the effect of the struc- tured information on the driving decision-making,a traffic guidance information evaluation system is built by intro- ducing a cloud model,and by a simulation in a full-featured car driving simulator,four kinds of traffic guidance information environment are designed to conduct route choice experiments.Then,the effect of the traffic guidance information with different combinations of structured information on the driving decision-making is analyzed,and an optimization scheme of the traffic guidance information release strategy is proposed.The results show that the traffic guidance information including the digital information,the language information and the image information has a significant effect on the driving decision-making.Specifically,a combination of the language information and the digital information is beneficial for drivers to perceive the road environment,and a combination of the digital infor- mation and the image information is beneficial to the route decision of drivers.

Key words: intelligent transportation, structured information, cloud model, driving decision-making, release strategy