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Enhanced Micro-Simulation Models for Accurate Safety Assessment of Traffic Management ITS Solutions. Final rept.
| 题名： | Enhanced Micro-Simulation Models for Accurate Safety Assessment of Traffic Management ITS Solutions. Final rept. |
| 作者： | Kin-W.; Hourdos-J.; Micholopoulas-P. |
| 关键词： | *Traffic-management; *Traffic-simulation; *Driving-behavior.;Simulation-; Models-; Freeway-traffic; Traffic-safety. |
| 摘要： | Much research has been conducted in the development, implementation, and evaluation of innovative ITS technologies aiming to improve traffic operations and driving safety. Existing micro-simulation modeling only describes normative car-following behaviors devoid of weakness and risks associated with real-life everyday driving. This research aims to develop a new behavioral car-following model that is pertinent to the true nature of everyday human driving. Unlike traditional car-following models that deliberately prohibit vehicle collisions, this new model builds upon multi-disciplinary findings explicitly taking into account perceptual thresholds, judgment errors, anisotropy of reaction times and driver inattention, in order to replicate less-than-perfect driving behavior with all its weakness and risks. Most importantly, all parameters of this model have direct physical meaning; this ensures vehicle collisions are replicated as a result of behavioral patterns rather than simply being numerical artifacts of the model. Meanwhile, vehicle trajectories were extracted from real-life crashes collected from a freeway section of I-94WB. This is by far the first data collection efforts that aim to collect vehicle trajectories from real-life crashes to aid car-following modeling. These data were employed in this study to test, calibrate and validate the model. This new model is successful in replicating these vehicle trajectories as well as crashes. |
| 报告类型： | 科技报告 |
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