作者: Brian L. Smith , Ling Qin , Ramkumar Venkatanarayana
DOI: 10.1061/(ASCE)0733-947X(2003)129:4(362)
关键词: Traffic flow 、 Traffic capacity 、 Road traffic 、 Incident management (ITSM) 、 Transport engineering 、 Reduction (complexity) 、 Poison control 、 Engineering 、 Blocking (statistics) 、 Traffic congestion
摘要: Incidents, defined as unplanned events that temporarily reduce roadway capacity, contribute significantly to urban freeway congestion. Transportation agencies have developed incident management programs in order support the effective identification and response incidents. An important element of an program is ability accurately estimate capacity remaining following incident. The objective this research was characterize reduction resulting from traffic accidents using a large set flow accident data. Traffic accidents, subcategory incidents, were investigated since they, particular, result significant congestion due their frequency generally substantial capacity. results effort lead conclusions: (1) Accidents on segments, well beyond physical blockage lanes. This found blocking one three lanes resulted mean 63%, while two 77%; (2) There evidence suggest best modeled random variable, not deterministic value. indicate beta distribution provides good representation for or blocked.