Earticle

초록

영어

Based on the thought of Logistic cumulative probability, this paper establishes the traffic state probability model under snow-ice condition on artery, and puts forward the corresponding parameters calibration method and model evaluation method; finally, using traffic flow survey data under snow-ice condition on Huanghe road and Hongqi street in a city to analysis and forecast traffic state, put forward traffic state prewarning index, and combining the analysis results, present the corresponding traffic management strategy and guidance suggestion.

목차

Abstract
 1. Introduction
 2. Traffic State Probability Model Research Ideas
  2.1 Probability Analysis Method for State Variable
  2.2 Analysis by the Probability Model for Predicting Traffic State
  2.3. Estimation of Parameters of Traffic State Probability Model
 3. Precision Evaluation of the Traffic State Probability Model
  3.1. Evaluation of the Model’s Fitting Degree
  3.2. Evaluation of the Model’s Prediction Precision
 4. Experiment Design and Discussion
  4.1 Data Survey
  4.2. Data Processing
  4.3. Analysis of Results
 5. Conclusion
 References

키워드

저자

• Lifang Li [ Department of Public Foundation, Jilin Police College, Changchun 130000, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Smart Home

• 간기

  격월간

• pISSN

  1975-4094

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605