| Title |
Study of Bicycle Movements in Conflicts at Mixed Traffic Unsignalized Intersections |
| ID_Doc |
44018 |
| Authors |
Zhang, RH; Wu, JP; Huang, L; You, F |
| Title |
Study of Bicycle Movements in Conflicts at Mixed Traffic Unsignalized Intersections |
| Year |
2017 |
| Published |
|
| DOI |
10.1109/ACCESS.2017.2703816 |
| Abstract |
Mixed traffic is a common phenomenon in developing countries such as China. Understanding bicycles' moving behavior when it conflicts with motor vehicles/bicycles/pedestrians at unsignalized intersections is important for developing mixed traffic flow simulation models. Observations and analysis of bicycle movements when they conflict with those of vehicles/pedestrians at mixed traffic unsignalized intersections were made in our study. Field data from actual bicycle movements were captured from video data. We then proposed a plausible cyclist conflict avoidance movement model in mixed traffic flow situations based on fuzzy logic and the discrete choice method. Field data were used for model calibration and validation, and the results were promising. |
| Author Keywords |
Bicycle; unsignalized intersection; mixed traffic; fuzzy logic; smart city |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Science Citation Index Expanded (SCI-EXPANDED) |
| EID |
WOS:000404360000007 |
| WoS Category |
Computer Science, Information Systems; Engineering, Electrical & Electronic; Telecommunications |
| Research Area |
Computer Science; Engineering; Telecommunications |
| PDF |
https://doi.org/10.1109/access.2017.2703816
|