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Identifying Factors Affecting the Time Taken for Drivers to Complete Freeway Merging Maneuvers under Varying Weather, Traffic, and Geometric Conditions
| 题名： | Identifying Factors Affecting the Time Taken for Drivers to Complete Freeway Merging Maneuvers under Varying Weather, Traffic, and Geometric Conditions |
| 正文语种： | eng |
| 作者： | Titiloye, Ibukun;Adegbulugbe, Oluwanifemi;Abioye, Olumide F.;Kobelo, Doreen;Dulebenets, Maxim A.;Sando, Thobias |
| 作者单位： | Florida Int Univ Dept Civil & Environm Engn 10555 W Flagler St Miami FL 33174 USA;Wayne State Univ Dept Civil & Environm Engn 5050 Anthony Wayne Dr Detroit MI 48202 USA;Airbus Grp Inc Operat Improvement Engn 21780 Filigree Court Ashburn VA 20147 USA;Florida A&M Univ Dept Construct & Civil Engn Technol 1339 Wahnish Way Tallahassee FL 32307 USA;Florida State Univ Florida A&M Univ Dept Civil & Environm Engn 2525 Pottsdamer St Bldg A Suite A124 Tallahassee FL 32310 USA;Univ North Florida Sch Engn 1 UNF Dr Bldg 50 Suite 2102 Jacksonville FL 32256 USA |
| 关键词： | Freeway maneuvers;Merging time;Age groups;Driving simulator;Older drivers |
| 摘要： | Inadequate understanding of driver heterogeneity and characteristics creates challenges building models in microscopic traffic simulation tools that accurately represent merging behavior in real traffic. To further understand merging behavior, this study, unlike previous studies, considers age group and other driver characteristics under varying weather, traffic, and geometric conditions. A pilot study was conducted using a driving simulator to simulate merging scenarios on four-lane and six-lane freeway segments for Level of Service (LOS) A and B under clear and foggy weather conditions. A total of 100 individuals voluntarily participated in the study and their time taken to complete merging maneuvers (or merging time) was used as the performance measure. The collected data were analyzed using ANOVA and log-linear regression models, and results show that although there were statistically significant differences among age groups, "number of lanes" was the most significant predictor variable in the model because drivers required longer time merging to the four-lane freeway segment than to the six-lane freeway segment. Also, some driver characteristics and self-reported driving abilities were found to influence the merging time of drivers. |
| 出版年： | 2021 |
| 期刊名称： | Journal of Transportation Engineering |
| 卷： | 147 |
| 期： | 10 |
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