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THE USE OF MACHINE LEARNING METHOD FOR MODELING AND ANALYZING PEDESTRIAN CRASH DATA AND COMPARISONS WITH TRADITIONAL DISCRETE CHOICE METHODS
Title
THE USE OF MACHINE LEARNING METHOD FOR MODELING AND ANALYZING PEDESTRIAN CRASH DATA AND COMPARISONS WITH TRADITIONAL DISCRETE CHOICE METHODS
Author
Li, Yang
Date Created
2021
Subjects--Topical
Transportation
Description
As one of the most vulnerable entity within the transportation system, pedestrians might face more dangers and sustain severer injuries in the traffic crashes than others. The safety of pedestrians is particularly critical within the context of co...
Travel Time Forecasting on a Freeway Corridor: a Dynamic Information Fusion Model based on the Machine Learning Approaches
Title
Travel Time Forecasting on a Freeway Corridor: a Dynamic Information Fusion Model based on the Machine Learning Approaches
Author
Qiu, Bo
Date Created
2021
Subjects--Topical
Civil engineering, Transportation, Statistics
Description
Metropolitan areas suffer from frequent road traffic congestion not only during peak hours but also during off-peak periods. Currently, the increasing availability of vehicle probe data has made the real-time travel time prediction a reality. The ...
USE OF MULTISENSOR DATA IN MODELING FREEWAY TRAVEL TIME: VARIABILITY ANALYSIS AND PREDICTION
Title
USE OF MULTISENSOR DATA IN MODELING FREEWAY TRAVEL TIME: VARIABILITY ANALYSIS AND PREDICTION
Author
Chen, Zhen
Date Created
2019
Subjects--Topical
Transportation
Description
Nowadays anonymous vehicle probe data have been greatly improved in both data coverage and data fidelity. Thus, vehicle probe data have become a reliable source for freeway travel time analysis. The travel time variability is highly complex as it ...