Freeways Travelers’ Route Switching Behavior with the Provision of Different Types of Real-Time Traffic Information

• Main Authors: Ke-Hong Chen, 陳科宏
• Other Authors: Rong-Chang Jou
• Format: Others
• Language: zh-TW
• Published: 2004
• Online Access: http://ndltd.ncl.edu.tw/handle/n34aj3

碩士 === 國立暨南國際大學 === 土木工程學系 === 92 === This study investigates freeways travelers’ route switching behavior with the provision of different types of real-time traffic information. Different scenarios with four types of real-time information are designed and provided to the travelers randomly selected in the rest areas to obtain the stated preference data. Four types of real-time information defined in this paper are qualitative, quantitative, qualitative with guidance instruction, and quantitative with guidance instruction. Bounded rationality framework, also known as indifference band approach, is applied to modeling freeways travelers’ route switching behavior with the provision of different types of real-time traffic information. There are two important variables, travel time and travel cost, included in the indifference band. Since the freeways will adopt the ETC (Electronic Toll Collection) systems in the near future, toll stations will be located on ramps instead of within ramps on freeways. Therefore, travel cost need to be modified to be linearly proportional to the distance travelers traveled after the implementation of ETC systems. In this study, two route switching rules, travelers’ current routes compared to habitual and best routes, are investigated and compared to further provide valuable insights into freeways travelers’ route switching behavior with the provision of different types of real-time traffic information. The empirical results indicate that travel time and travel cost are the major factors influencing travelers’ route switching behavior. Quantitative traffic information and real-time traffic information with guidance instruction could be easier influencing switching behavior than other types of real-time information. Gender, age and income per month are the significant variables which are influencing switching behavior.