摘要: |
The research team will assemble a suite of relevant data sets across the State to deliver both aggregate and highly disaggregate analyses of pedestrian-crash data, reflecting exposure pattern variations by site and city, county and region, roadway and intersection design decisions, local economic and demographic conditions, climate and context. Using traditional econometric and artificial intelligence methods the research team will anticipate which factors are at play in fatal and severe pedestrian crashes and identify all factors that increase such risks, in order to deliver a suite of cost-effective countermeasures and treatments to dramatically reverse the rise in pedestrian deaths across Texas. |