4.4 Article

Big-Data Driven Framework to Estimate Vehicle Volume Based on Mobile Device Location Data

Related references

Note: Only part of the references are listed.
Article Engineering, Civil

Interactive COVID-19 Mobility Impact and Social Distancing Analysis Platform

Lei Zhang et al.

Summary: The research team has developed a COVID-19 impact analysis platform that utilizes privacy-protected mobile device location data, integrated with COVID-19 case data and census population data. This platform informs users about the effects of COVID-19 spread and government orders on mobility and social distancing. The team continuously updates the platform using an interactive analytical tool to provide decision-makers with information on the impacts of COVID-19 on their communities.

TRANSPORTATION RESEARCH RECORD (2023)

Article Engineering, Civil

A data-driven travel mode share estimation framework based on mobile device location data

Mofeng Yang et al.

Summary: This study focuses on the capability of using MDLD to estimate travel mode share at aggregated levels. A data-driven framework is proposed to extract travel behavior information from MDLD, which utilizes modified spatial clustering algorithms and machine learning models. Experimental results show that the framework can efficiently identify trip ends and predict different travel modes, indicating its potential for wide application in various regions.

TRANSPORTATION (2022)

Article Transportation Science & Technology

Integrating public transit signal priority into max-pressure signal control: Methodology and simulation study on a downtown network

Te Xu et al.

Summary: This paper proposes a novel max-pressure signal control method that considers transit signal priority to achieve maximum stability for private vehicles and reliable transit service. The method, validated through simulations, shows promising results in reducing travel time.

TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2022)

Article Engineering, Civil

A data-driven approach for origin-destination matrix construction from cellular network signalling data: a case study of Lyon region (France)

Mariem Fekih et al.

Summary: The study introduces a methodology to estimate origin-destination matrices using cellular network signalling data, providing higher spatiotemporal granularity compared to traditional methods. By analyzing user activity indicators and extracting trips, the study identifies mobility information and scales the data to obtain O-D matrix estimates similar to those obtained through travel surveys.

TRANSPORTATION (2021)

Article Transportation Science & Technology

A big-data driven approach to analyzing and modeling human mobility trend under non-pharmaceutical interventions during COVID-19 pandemic

Songhua Hu et al.

Summary: This study utilized a big-data-driven analytical framework to quantitatively assess human mobility trends during COVID-19 in the United States at the county level. Results indicate that policies have limited effects on human movement, with factors such as confirmed COVID-19 cases, income levels, and industry structure also playing important roles in influencing mobility.

TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2021)

Proceedings Paper Computer Science, Artificial Intelligence

A Zone-based Dynamic Queueing Model and Maximum-stability Dispatch Policy for Shared Autonomous Vehicles

Te Xu et al.

Summary: The study introduces a dynamic queuing model for waiting passengers and proposes a maximum stability dispatch policy for Shared autonomous vehicle services, ensuring network stability.

2021 IEEE INTELLIGENT TRANSPORTATION SYSTEMS CONFERENCE (ITSC) (2021)

Article Engineering, Civil

Mobile phone data in transportation research: methods for benchmarking against other data sources

Andreas Dypvik Landmark et al.

Summary: The widespread use of personal cell phones has sparked interest in utilizing Big Data generated by mobile phones in transportation research. However, constructing OD matrices from mobile phone data faces challenges and legal restrictions. Pre-compiled OD matrices may lack reliability due to data coarseness and privacy concerns.

TRANSPORTATION (2021)

Article Multidisciplinary Sciences

Mobile device data reveal the dynamics in a positive relationship between human mobility and COVID-19 infections

Chenfeng Xiong et al.

PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2020)

Article Multidisciplinary Sciences

Mobile device location data reveal human mobility response to state-level stay-at-home orders during the COVID-19 pandemic in the USA

Chenfeng Xiong et al.

JOURNAL OF THE ROYAL SOCIETY INTERFACE (2020)

Article Transportation Science & Technology

Inferring dynamic origin-destination flows by transport mode using mobile phone data

Danya Bachir et al.

TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2019)

Review Transportation Science & Technology

Urban traffic signal control with connected and automated vehicles: A survey

Qiangqiang Guo et al.

TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2019)

Article Transportation Science & Technology

Using big GPS trajectory data analytics for vehicle miles traveled estimation

Junchuan Fan et al.

TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2019)

Article Transportation Science & Technology

Extracting trips from multi-sourced data for mobility pattern analysis: An app-based data example

Feilong Wang et al.

TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2019)

Article Transportation Science & Technology

Various methods for queue length and traffic volume estimation using probe vehicle trajectories

Yan Zhao et al.

TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2019)

Article Engineering, Electrical & Electronic

Traffic Volume Estimation in Multimodal Urban Networks Using Cellphone Location Data

Jiping Xing et al.

IEEE INTELLIGENT TRANSPORTATION SYSTEMS MAGAZINE (2019)

Article Transportation Science & Technology

On data processing required to derive mobility patterns from passively-generated mobile phone data

Feilong Wang et al.

TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2018)

Article Transportation Science & Technology

Estimating historical hourly traffic volumes via machine learning and vehicle probe data: A Maryland case study

Przemyslaw Sekula et al.

TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2018)

Article Engineering, Civil

Real-Time Queue Length Estimation for Signalized Intersections Using Vehicle Trajectory Data

Fuliang Li et al.

TRANSPORTATION RESEARCH RECORD (2017)

Proceedings Paper Transportation

Estimating Freeway Traffic Volume Using Shockwaves and Probe Vehicle Trajectory Data

Khairul Anuar et al.

19TH EURO WORKING GROUP ON TRANSPORTATION MEETING (EWGT2016) (2017)

Review Transportation Science & Technology

The promises of big data and small data for travel behavior (aka human mobility) analysis

Cynthia Chen et al.

TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2016)

Article Multidisciplinary Sciences

Understanding congested travel in urban areas

Serdar Colak et al.

NATURE COMMUNICATIONS (2016)

Article Engineering, Civil

The Cellular Network as a Sensor: From Mobile Phone Data to Real-Time Road Traffic Monitoring

Andreas Janecek et al.

IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2015)

Article Multidisciplinary Sciences

Returners and explorers dichotomy in human mobility

Luca Pappalardo et al.

NATURE COMMUNICATIONS (2015)

Article Computer Science, Software Engineering

Flow Reconstruction for Data-Driven Traffic Animation

David Wilkie et al.

ACM TRANSACTIONS ON GRAPHICS (2013)

Article Engineering, Civil

Traffic Flow Estimation Models Using Cellular Phone Data

Noelia Caceres et al.

IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2012)

Article Physics, Multidisciplinary

Intra-urban human mobility patterns: An urban morphology perspective

Chaogui Kang et al.

PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS (2012)

Article Urban Studies

Towards Estimating Urban Population Distributions from Mobile Call Data

Chaogui Kang et al.

JOURNAL OF URBAN TECHNOLOGY (2012)

Article Physics, Multidisciplinary

Modelling the scaling properties of human mobility

Chaoming Song et al.

NATURE PHYSICS (2010)

Article Multidisciplinary Sciences

Limits of Predictability in Human Mobility

Chaoming Song et al.

SCIENCE (2010)

Article Multidisciplinary Sciences

Understanding individual human mobility patterns

Marta C. Gonzalez et al.

NATURE (2008)