Graphical abstract Display Omitted Highlights ► Compliance behavior under graphic VMS in urban network of China is studied. ► Large-scale simulation scenes set in the questionnaire are adopted to collect data. ► Three kinds of paths and trust degree in VMS are used to determine compliance. ► Compliance rate of VMS being map form is calculated more accurately. ► The practical strategies are proposed to release predicted information.

    Abstract It is generally accepted that compliance behavior is affected by many factors. The purpose of this study is to investigate the effects of diverse factors on drivers’ guidance compliance behaviors under road condition information shown on graphic variable message sign (VMS), and based on this to find out a better information release mode. The involved data were obtained from questionnaire survey, and ordinal regression was used to analyze the casual relation between guidance compliance behavior and its influencing factors. Based on an overall analysis of conditions in driver’s route choice, an accurate method was proposed to calculate the compliance rate. The model testing information indicated that ordinal regression model with complementary log–log being the link function was appropriate to quantify the relation between the compliance rate and the factors. The estimation results showed that age, driving years, average annual mileage, monthly income, driving style, occupation, the degree of trust in VMS, the familiarity with road network and the route choice style were significant determinants of guidance compliance behavior. This paper also compared two different guidance modes which were ordinary guidance mode (M1) and predicted guidance mode (M2) through simulation. The average speed fluctuations and average travel time supported that M2 had better effect in improving traffic flow and balancing traffic load and resource. Some detailed suggestions of releasing guidance information were proposed with the explanation by flow-density curve and variation of traffic flows. These findings are the foundation to design and improve guidance systems by assessing guidance effect and modifying guidance algorithm.


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    Title :

    Effects of different factors on drivers’ guidance compliance behaviors under road condition information shown on VMS


    Contributors:
    Zhong, Shiquan (author) / Zhou, Lizhen (author) / Ma, Shoufeng (author) / Jia, Ning (author)


    Publication date :

    2012-05-16


    Size :

    16 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English