Safety Data, Analysis, and Modeling
TRB’s Transportation Research Record: Journal of the Transportation Research Board, No. 2083 includes 22 papers that explore data-driven perspective on safety risk management, macrolevel annual safety performance measures, tool with road-level crash prediction for safety planning, congestion and number of lanes on urban freeways relationship to safety, accident modification factors, identifying hazardous road locations, identifying hot spots, and safety influence area for four-legged signalized intersections. This issue of the TRR also examines automated analysis of accident exposure, new simulation-based surrogate safety measure, hit-and-run crashes, speed limit increases' effect on injury severity, safety of curbs, proximity to intersections and injury severity of urban arterial crashes, nested logit model of traffic flow on freeway ramps, intelligent transportation system data for assessing freeway safety, vehicle time spent in following on two-lane rural roads, indirect associations in crash data, crash prediction models for rural highways, and methodology for identifying causal factors of accident severity.
This Summary Last Modified On: 5/5/2016