Vision Zero Risk Analysis Model: ODN RAM Model Documentation

Nadeau, Carrie Anne

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Vision Zero Risk Analysis Model: ODN RAM Model Documentation

2020-09-01
By Nadeau, Carrie Anne

File Language:

English

Details

Creators:

Nadeau, Carrie Anne
Corporate Creators:

Open Data Nation ; Howard University
Corporate Contributors:

District Department of Transportation, Research, Development, & Technology Transfer Program ; United States. Department of Transportation. Federal Highway Administration
Subject/TRT Terms:

Crash Exposure Crash Risk Forecasting Highway Safety Literature Reviews Logits Machine Learning Predictive Models Risk Analysis
Publication/ Report Number:

DDOT-RDT-2020-01
Resource Type:

Tech Report
Geographical Coverage:

Washington (District of Columbia) ; United States
Edition:

Final Report April 2019-May 2020
Corporate Publisher:

District Department of Transportation, Research, Development, & Technology Transfer Program
Abstract:

Open Data Nation (ODN) worked with Howard University, on behalf of the District Department of Transportation (DDOT), to construct a predictive model to anticipate which roads are most likely to have traffic crashes in Washington, DC. This work is in support of the city’s broader Vision Zero initiative and its deliverables are valuable tools for city planners to prioritize traffic safety engineering, education, and enforcement activities to prevent crashes and save lives. This document aims to describe these deliverables and provide the technical methodology and requirements to operationalize them. The deliverables outlined here, include an: • Exposure model, estimating average annual daily traffic • Crash model, estimating the likelihood of a crash on a road segment Separately a literature review documented the academic research that guided ODN’s approach. In addition, a prototype application was developed to make interactions with data user-friendly.
Format:

PDF
Funding:

DCKA-2015-C-0011 Task 52
Collection(s):

US Transportation Collection
Main Document Checksum:

urn:sha256:04b7cb069a3249a6af9d9d3c697f579cb1f13b1bb5d376bf8e775930d81a1600
Download URL:

https://rosap.ntl.bts.gov/view/dot/56418/dot_56418_DS1.pdf
File Type:

[PDF - 647.93 KB ]

File Language:

English

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