| contributor author | Xiaoming Chen | |
| contributor author | Yi Qi | |
| contributor author | Guanqi Liu | |
| date accessioned | 2017-05-08T22:02:20Z | |
| date available | 2017-05-08T22:02:20Z | |
| date copyright | February 2013 | |
| date issued | 2013 | |
| identifier other | %28asce%29te%2E1943-5436%2E0000533.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/69511 | |
| description abstract | Operational performance of right-turn-on-red (RTOR) at signalized intersections is a function of drivers’ gap-acceptance behavior. The objective of this study is to characterize gap-acceptance behavioral patterns of individual RTOR drivers turning from dual right-turn lanes. On the basis of direct field observation, binary logit models were developed, calibrated, and validated, and the attributes that have significant effects on gap-acceptance decisions were identified. The proposed model showed an improved capability of predicting gap-acceptance decisions as opposed to conventional, deterministic methods that may overrepresent aggressive drivers, whereas the deterministic method represents a reasonable trade-off between accuracy and ease of use for dual right-turn lanes. For RTOR drivers turning from a curb right-turn lane, the critical headway decreases on average as they are waiting for an acceptable gap. RTOR drivers turning from an inside right-turn lane did not demonstrate statistically significant evidence of increased impatience while waiting. | |
| publisher | American Society of Civil Engineers | |
| title | Empirical Study of Gap-Acceptance Behavior of Right-Turn-on-Red Drivers on Dual Right-Turn Lanes | |
| type | Journal Paper | |
| journal volume | 139 | |
| journal issue | 2 | |
| journal title | Journal of Transportation Engineering, Part A: Systems | |
| identifier doi | 10.1061/(ASCE)TE.1943-5436.0000489 | |
| tree | Journal of Transportation Engineering, Part A: Systems:;2013:;Volume ( 139 ):;issue: 002 | |
| contenttype | Fulltext | |