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Impact of lockdown and change in mobility patterns on road fatalities during COVID-19 pandemic
The present study examines the impact of lockdown measures taken to control the spread of
COVID-19 on road fatalities. The study is based on the data collected over the duration of six …
COVID-19 on road fatalities. The study is based on the data collected over the duration of six …
Using meta-learning to establish a highly transferable driving speed prediction model from the visual road environment
Driving speed prediction is of great significance for the realization of autonomous driving
and intelligent transportation systems. The effectiveness of the existing driving speed …
and intelligent transportation systems. The effectiveness of the existing driving speed …
[HTML][HTML] A real-time vehicle speed prediction method based on a lightweight informer driven by big temporal data
X Tian, Q Zheng, Z Yu, M Yang, Y Ding… - Big Data and Cognitive …, 2023 - mdpi.com
At present, the design of modern vehicles requires improving driving performance while
meeting emission standards, leading to increasingly complex power systems. In …
meeting emission standards, leading to increasingly complex power systems. In …
Operating speed prediction models by vehicle type on two-lane rural highways in Indian hilly terrains
The present study aims to develop vehicle type-wise operating-speed prediction (OSP)
models for heterogeneous traffic on two-lane rural highways in Indian hilly terrains. For the …
models for heterogeneous traffic on two-lane rural highways in Indian hilly terrains. For the …
[HTML][HTML] Modeling over speeding behavior of vehicles using a random parameter negative binomial approach: A case study of Mumbai, India
Over speeding is one of the most common factors contributing to road accidents leading to
traffic-related injuries and deaths. Understanding determinants of over speeding behavior is …
traffic-related injuries and deaths. Understanding determinants of over speeding behavior is …
Modified geometric design consistency criteria for two-lane rural highways based on crash severity
The present study focuses on analyzing geometric design consistency (GDC) and modifying
GDC criteria and correlating them to the field-reported crash severity, specifically for …
GDC criteria and correlating them to the field-reported crash severity, specifically for …
Modeling Acceleration and Deceleration Rates for Two‐Lane Rural Highways Using Global Positioning System Data
Several past studies developed acceleration/deceleration rate models as a function of a
single explanatory variable. Most of them were spot speed studies with speeds measured at …
single explanatory variable. Most of them were spot speed studies with speeds measured at …
A short-term naturalistic driving study on predicting comfort thresholds for horizontal curves on two-lane rural highways
The comfort threshold is one of the basic controls in designing horizontal alignment. Some
studies have implied that the recommended comfort thresholds are conservative because …
studies have implied that the recommended comfort thresholds are conservative because …
Exploring maximum and minimum operating speed positions on road geometric elements using continuous speed data
Speed prediction models are commonly developed using maximum and minimum operating
speeds measured at or within specific locations on the tangents and horizontal curves …
speeds measured at or within specific locations on the tangents and horizontal curves …
Modeling 85th percentile speed differential for evaluating geometric design consistency on two-lane rural highways
Operating speed is one of the essential criteria for evaluating mobility and safety on
highways. Hence, the present study investigates highway design consistency using …
highways. Hence, the present study investigates highway design consistency using …