Transportation Sentiment Analysis for Safety Enhancement

Chen, Feng; Krishnan, Ramayya; Technologies for Safe and Efficient Transportation. University Transportation Center

Advanced Search

Select up to three search categories and corresponding keywords using the fields to the right. Refer to the Help section for more detailed instructions.

Search our Collections & Repository

Advanced Search
Custom Query

All these words:

For very narrow results

This exact word or phrase:

When looking for a specific result

Any of these words:

Best used for discovery & interchangable words

None of these words:

Recommended to be used in conjunction with other fields

Language:

Dates

Publication Date Range:

to

Document Data

Title:

Document Type:

Library

Collection:

Series:

People

Author:

Clear All

Query Builder

Query box

Clear All

For additional assistance using the Custom Query please check out our Help Page

i

Transportation Sentiment Analysis for Safety Enhancement

2013-12-19
By Chen, Feng ; Krishnan, Ramayya

[PDF-7.44 MB]

Select the Download button to view the document

This document is over 5mb in size and cannot be previewed

English

Details You May Also Like

Details:

Creators:

Chen, Feng ; Krishnan, Ramayya

Chen, Feng ; Krishnan, Ramayya Less -
Corporate Creators:

Technologies for Safe and Efficient Transportation. University Transportation Center
Corporate Contributors:

United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology
Subject/TRT Terms:

[+]

Advanced Traveler Information Systems Communication Systems Monitoring Real Time Information Safety Social Media Traffic Flow Traffic Safety Transportation Safety Traveler Information And Communication Systems
Resource Type:

Tech Report
Geographical Coverage:

Pittsburgh (Pennsylvania)
Corporate Publisher:

Technologies for Safe and Efficient Transportation. University Transportation Center
Abstract:

The goal of this project is to develop an online intelligent system that automatically monitors and collects timely and comprehensive information from social media (e.g., blogs, online forums, and twitter) about the current status of the transportation network and traffic flow to support advanced safety enhancement. Our proposed approach is composed of five major components: 1) Public Safety Data Extraction 2) Heterogeneous Safety Data Modeling 3) Transportation Safety Topics: Discovery 4) Bias Estimation Using Traditional Traffic Sensor Data 5) User Interface and High Level Applications
Format:

PDF
Funding:

CONTRACT No. DTRT12GUTG11
Collection(s):

University Transportation Centers US Transportation Collection
Main Document Checksum:

[+]

urn:sha256:43e88f2ac8f25a093445a1280d8957e44aa1bd560cd985a6109a34e814417f51
Download URL:

https://rosap.ntl.bts.gov/view/dot/37119/dot_37119_DS1.pdf
File Type:

No Additional Files

More +

Transportation Sentiment Analysis for Safety Enhancement

Details:

Supporting Files

You May Also Like