A trip to work: Estimation of origin and destination of commuting patterns in the main metropolitan regions of Haiti using CDR
Sign Up to like & getrecommendations! Published in 2018 at "Development Engineering"
DOI: 10.1016/j.deveng.2018.03.002
Abstract: Abstract The rapid, unplanned urbanisation in Haiti creates a series of urban mobility challenges which can contribute to job market fragmentation and decrease the quality of life in the city. Data on population and job… read more here.
Keywords: work; commuting patterns; origin destination; population ... See more keywords
The determinants of travel demand between rail stations: A direct transit demand model using multilevel analysis for the Washington D.C. Metrorail system
Sign Up to like & getrecommendations! Published in 2018 at "Transportation Research Part A: Policy and Practice"
DOI: 10.1016/j.tra.2018.06.011
Abstract: Abstract Transit demand models have become indispensable tools for transit planners and mangers in the 21st century. By quantifying the relationship between transit ridership, the cost of travel, the character of the built environment, and… read more here.
Keywords: transit; transit demand; time; origin destination ... See more keywords
Impact of origin-destination information in epidemic spreading
Sign Up to like & getrecommendations! Published in 2019 at "Scientific Reports"
DOI: 10.1038/s41598-019-38722-4
Abstract: The networked structure of contacts shapes the spreading of epidemic processes. Recent advances on network theory have improved our understanding of the epidemic processes at large scale. The relevance of several considerations still needs to… read more here.
Keywords: destination; information; epidemic processes; epidemic spreading ... See more keywords
A New Perspective on Defining Dynamic Origin‐Destination Data and Predicting it Using Deep Learning Methods
Sign Up to like & getrecommendations! Published in 2025 at "IET Intelligent Transport Systems"
DOI: 10.1049/itr2.70068
Abstract: The prediction of dynamic origin‐destination (OD) data is critical for facilitating real‐time traffic management across traffic networks. Despite numerous efforts to integrate the temporal and spatial characteristics of OD data to capture the nonlinearity and… read more here.
Keywords: dynamic origin; destination; origin destination; destination data ... See more keywords
A multi-hierarchical method to extract spatial network structures from large-scale origin-destination flow data
Sign Up to like & getrecommendations! Published in 2024 at "International Journal of Geographical Information Science"
DOI: 10.1080/13658816.2023.2301305
Abstract: Abstract Extracting spatial network structure (SNS) from large-scale origin-destination flow data is an important approach for understanding interregional association patterns and interaction laws. Currently, the extraction of SNS primarily relies on complex network clustering or… read more here.
Keywords: flow data; destination flow; origin destination; network ... See more keywords
What can location-based social media reveal on human migration patterns in Europe?
Sign Up to like & getrecommendations! Published in 2024 at "Journal of Maps"
DOI: 10.1080/17445647.2024.2329168
Abstract: ABSTRACT Numerous visualisation methods have been proposed, including Origin-Destination maps to represent movement patterns gathered from social media; however, visual clutter remains a persistent issue due to complex data dimensionality. Besides, most Origin-Destination maps fail… read more here.
Keywords: location based; social media; human migration; origin destination ... See more keywords
Origin-destination-based truncated quadratic programming algorithm for traffic assignment problem
Sign Up to like & getrecommendations! Published in 2017 at "Transportation Letters"
DOI: 10.1080/19427867.2016.1227531
Abstract: Abstract The solution of the static traffic assignment problem (TAP) with fixed origin-destination (OD) demands is considered. The original Frank and Wolfe (FW) algorithm is the most widely used in practice while suffering from a… read more here.
Keywords: algorithm; traffic assignment; assignment problem; origin destination ... See more keywords
Optimal Steering of Ensembles With Origin-Destination Constraints
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Control Systems Letters"
DOI: 10.1109/lcsys.2020.3006763
Abstract: We consider the optimal control problem of steering a collection of agents over a network. The group behavior of an ensemble is often modeled by a distribution, and thus the optimal control problem we study… read more here.
Keywords: control problem; problem; destination constraints; origin destination ... See more keywords
Detailed Origin-Destination Matrices of Bus Passengers Using Radio Frequency Identification
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Intelligent Transportation Systems Magazine"
DOI: 10.1109/mits.2019.2962149
Abstract: Origin-destination (OD) matrices provide significant information to optimize the operation of Public Transportation System and design its evolution. The survey-based approaches to collecting data were overcome by technology providing passengers’ data. Check-In/Check-Out methods generate complete… read more here.
Keywords: origin destination; operation; destination; destination matrices ... See more keywords
Dynamic Origin-Destination Prediction in Urban Rail Systems: A Multi-Resolution Spatio-Temporal Deep Learning Approach
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2020.3047047
Abstract: Short-term demand predictions, typically defined as less than an hour into the future, are essential for implementing dynamic control strategies and providing useful customer information in transit applications. Knowing the expected demand enables transit operators… read more here.
Keywords: multi resolution; origin destination; prediction; transit ... See more keywords
Adaptive Feature Fusion Networks for Origin-Destination Passenger Flow Prediction in Metro Systems
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2023.3239101
Abstract: Accurately predicting Origin-Destination (OD) passenger flow can help metro service quality and efficiency. Existing works have focused on predicting incoming and outgoing flows for individual stations, while little attention was paid to OD prediction in… read more here.
Keywords: destination passenger; passenger; origin destination; prediction ... See more keywords