An interdisciplinary survey on origin-destination flows modeling: Theory and techniques
Origin-destination (OD) flow modeling is an extensively researched subject across multiple
disciplines, such as the investigation of travel demand in transportation and spatial …
disciplines, such as the investigation of travel demand in transportation and spatial …
Classifying travelers' driving style using basic safety messages generated by connected vehicles: Application of unsupervised machine learning
Driving style can substantially impact mobility, safety, energy consumption, and vehicle
emissions. While a range of methods has been used in the past for driving style …
emissions. While a range of methods has been used in the past for driving style …
Integration of automated vehicles in mixed traffic: Evaluating changes in performance of following human-driven vehicles
Abstract The introduction of Automated Vehicles (AVs) into the transportation network is
expected to improve system performance, but the impacts of AVs in mixed traffic streams …
expected to improve system performance, but the impacts of AVs in mixed traffic streams …
Real-time crash prediction for a long low-traffic volume corridor using corrected-impurity importance and semi-parametric generalized additive model
A Khoda Bakhshi, MM Ahmed - Journal of transportation safety & …, 2022 - Taylor & Francis
Real-time risk assessment studies have investigated a limited length of corridors. However,
the necessity of assessing the safety performance of Connected Vehicles (CVs) requires …
the necessity of assessing the safety performance of Connected Vehicles (CVs) requires …
A novel mobility-based approach to derive urban-scale building occupant profiles and analyze impacts on building energy consumption
In the US, people spend more than 90% of their time in buildings, which contributes to more
than 70% of overall electricity usage in the country. Occupant behavior is becoming a …
than 70% of overall electricity usage in the country. Occupant behavior is becoming a …
Comparison of home detection algorithms using smartphone GPS data
Estimation of people's home locations using location-based services data from smartphones
is a common task in human mobility assessment. However, commonly used home detection …
is a common task in human mobility assessment. However, commonly used home detection …
Mining dockless bikeshare data for insights into cyclist behavior and preferences: Evidence from the Boston region
Emerging micromobility services provide not only new transportation options, but also
valuable sources of data for researchers and planners seeking to understand traveler …
valuable sources of data for researchers and planners seeking to understand traveler …
Coping with endogeneity and unobserved heterogeneity in real-time clustering critical crash occurrences nested within weather and road surface conditions
A Khoda Bakhshi, MM Ahmed - … journal of injury control and safety …, 2021 - Taylor & Francis
The knot of endogeneity and unobserved heterogeneity are causes of rendering parameter
estimates inconsistent in real-time crash prediction. This study intends to alleviate the …
estimates inconsistent in real-time crash prediction. This study intends to alleviate the …
Modeling urban scale human mobility through big data analysis and machine learning
Abstract In the United States, the buildings sector consumes about 76% of electricity use and
40% of all primary energy use and associated greenhouse gas emissions. Occupant …
40% of all primary energy use and associated greenhouse gas emissions. Occupant …
Using touchscreen mobile devices—when, where and how: a one-week field study
This cross-sectional study explored the objectively measured Touchscreen Mobile Device
(TSMD) use in free-living conditions. Data on TSMD use, gross body posture (lying, sitting …
(TSMD) use in free-living conditions. Data on TSMD use, gross body posture (lying, sitting …