Search
Now showing items 11-17 of 17
Revealing the hidden features in traffic prediction via entity embedding
(
Springer London
, 2019 , Article)
Models based on neural networks (NN) have been used widely and successfully in traffic prediction resulting in improved accuracy and efficiency in traffic flow, speed, passenger flow, and delay. Input data include continuous ...
A New Framework for Addressing High-level Decisions Related to Sustainable Transportation Development
(
Taylor and Francis Ltd.
, 2019 , Article)
Stakeholders in the transportation industry have been concerned with sustainability. However, transportation decision makers have had difficulty in incorporating sustainability into transportation infrastructure decisions ...
An inclusive framework for automatic safety evaluation of roundabouts
(
Taylor and Francis Inc.
, 2016 , Article)
This article presents an approach for studying different aspects of traffic safety at roundabouts. An automated safety analysis framework is used to detect different types of traffic conflicts, as well as the inappropriate ...
Severity analysis of red-light-running-related crashes using structural equation modeling
(
Taylor and Francis Inc.
, 2019 , Article)
The study investigated factors affecting the severity of red-light-running (RLR) -related crashes by means of crash records from the State of Florida (US). Previous studies have attempted to incorporate road, driver, and ...
Using the theory of planned behavior to predict the use of an upcoming public transportation service in Qatar
(
Elsevier Ltd
, 2019 , Article)
Public transportation systems play a major role in accommodating public travel needs. To accommodate the need for public transportation in Qatar, a metro network is currently under construction. However, commuters have ...
Temporal variation in walking behavior: An empirical study
(
Elsevier Ltd
, 2017 , Article)
This study provides a baseline for understanding the variation in walking behavior with respect to seasonal conditions in a hot weather country in the Arabian Gulf region. A busy neighborhood with different land-use patterns ...
Machine learning-based multi-target regression to effectively predict turning movements at signalized intersections
(
Elsevier
, 2022 , Article)
Effective prediction of turning movement counts at intersections through efficient and accurate methods is essential and needed for various applications. Commonly predictive methods require extensive data collection, ...