Research on Guiding Strategies of VMS and their Effects Based on Intelligent Materials

Yu Long Pei; Xue Li

doi:10.4028/www.scientific.net/AMR.321.50

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Research on Dynamic Analysis Ability of STPS for Non-Stationary Noise of Ceramic Paste Inner Stress
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Study on Dynamic Analysis of WT for Ceramic Paste Inner Stress
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Research on Guiding Strategies of VMS and their Effects Based on Intelligent Materials
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Structural Optimization of Building Materials Using Optimality Criteria Approach and its Realization in ANSYS
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A COM Approach for Designing and Implementing a Material and Energy Statistical Analysis System
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Synthesis, Structural Characterization and Photoluminescence of Six-Coordinated Zn(II) Complex Material
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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 321Research on Guiding Strategies of VMS and their...

Research on Guiding Strategies of VMS and their Effects Based on Intelligent Materials

Abstract:

VMS is a typical group-guiding facility of intelligent transport system (ITS) in urban road network. It has been based on certain intelligent materials. In recent years, VMS has been paid extensive attention and applied widely, so the research on its guiding strategies and effects is very important. Based on SP survey, the drivers’ route-choice behavior was compared and analyzed under different guiding strategies of VMS with the development of intelligent materials. This study applied Logit model and BP neural network model to establish respectively the model of calculating the probability of drivers’ changing route according to VMS, and compared these two models, furthermore, new thought of using these two methods comprehensively was put forward. Finally, the present situation of applying VMS in Beijing was concluded by investigating the drivers’ evaluation and suggestion about VMS guiding effects, that is, VMS application has obtained sound effects up to now.

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Periodical:

Advanced Materials Research (Volume 321)

Pages:

50-54

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.321.50

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Online since:

August 2011

Authors:

Yu Long Pei, Xue Li

Keywords:

Bp Neural Network Model, Guiding Strategy, Intelligent Material, Logit Model, Stated Preference (SP) Survey, Variable Message Signs (VMS)

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