A survey of traffic prediction: from spatio-temporal data to intelligent transportation
H Yuan, G Li - Data Science and Engineering, 2021 - Springer
Intelligent transportation (eg, intelligent traffic light) makes our travel more convenient and
efficient. With the development of mobile Internet and position technologies, it is reasonable …
efficient. With the development of mobile Internet and position technologies, it is reasonable …
Applying mobile phone data to travel behaviour research: A literature review
Travel behaviour has been studied for decades to guide transportation development and
management, with the support of traditional data collected by travel surveys. Recently, with …
management, with the support of traditional data collected by travel surveys. Recently, with …
Effect of COVID-19 response policies on walking behavior in US cities
The COVID-19 pandemic is causing mass disruption to our daily lives. We integrate mobility
data from mobile devices and area-level data to study the walking patterns of 1.62 million …
data from mobile devices and area-level data to study the walking patterns of 1.62 million …
Inferring transportation modes from GPS trajectories using a convolutional neural network
Identifying the distribution of users' transportation modes is an essential part of travel
demand analysis and transportation planning. With the advent of ubiquitous GPS-enabled …
demand analysis and transportation planning. With the advent of ubiquitous GPS-enabled …
Accelerometer-based transportation mode detection on smartphones
We present novel accelerometer-based techniques for accurate and fine-grained detection
of transportation modes on smartphones. The primary contributions of our work are an …
of transportation modes on smartphones. The primary contributions of our work are an …
Multi-scale urban passenger transportation CO2 emission calculation platform for smart mobility management
Passenger transportation is one of the primary sources of urban carbon emissions. Travel
data acquisition and appropriate emission inventory availability make estimating high …
data acquisition and appropriate emission inventory availability make estimating high …
Deeptransport: Prediction and simulation of human mobility and transportation mode at a citywide level
X Song, H Kanasugi, R Shibasaki - … of the twenty-fifth international joint …, 2016 - dl.acm.org
Traffic congestion causes huge economic loss worldwide in every year due to wasted fuel,
excessive air pollution, lost time, and reduced productivity. Understanding how humans …
excessive air pollution, lost time, and reduced productivity. Understanding how humans …
Applying machine learning techniques to transportation mode recognition using mobile phone sensor data
A Jahangiri, HA Rakha - IEEE transactions on intelligent …, 2015 - ieeexplore.ieee.org
This paper adopts different supervised learning methods from the field of machine learning
to develop multiclass classifiers that identify the transportation mode, including driving a car …
to develop multiclass classifiers that identify the transportation mode, including driving a car …
Review of GPS travel survey and GPS data-processing methods
L Shen, PR Stopher - Transport reviews, 2014 - Taylor & Francis
Global positioning system (GPS) devices have been utilised in travel surveys since the late
1990s. Because GPS devices are very accurate at recording time and positional …
1990s. Because GPS devices are very accurate at recording time and positional …
A survey of security architectures for edge computing-based IoT
E Fazeldehkordi, TM Grønli - IoT, 2022 - mdpi.com
The Internet of Things (IoT) is an innovative scheme providing massive applications that
have become part of our daily lives. The number of IoT and connected devices are growing …
have become part of our daily lives. The number of IoT and connected devices are growing …