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
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
Inferring Origin-Destination Flows From Population Distribution
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Knowledge and Data Engineering"
DOI: 10.1109/tkde.2021.3075928
Abstract: Origin-Destination (OD) flow contains the information of direction and volume of population mobility between different regions in a city, having significant value in public transportation resource allocation. Nevertheless, OD flow data is difficult to be… read more here.
Keywords: node embedding; distribution; population distribution; origin destination ... See more keywords
Dynamic Auto-Structuring Graph Neural Network: A Joint Learning Framework for Origin-Destination Demand Prediction
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Knowledge and Data Engineering"
DOI: 10.1109/tkde.2021.3135898
Abstract: Solving the demand prediction problem is an important part of improving the efficiency and reliability of ride-hailing services. Spatial-temporal graph learning methods have shown potential in modeling the spatial-temporal dependencies of ride-hailing demand data, but… read more here.
Keywords: demand prediction; destination demand; origin destination; graph ... See more keywords
Time Coefficient Estimation for Hourly Origin-Destination Demand from Observed Link Flow Based on Semidynamic Traffic Assignment
Sign Up to like & getrecommendations! Published in 2017 at "Journal of Advanced Transportation"
DOI: 10.1155/2017/6495861
Abstract: Day-long origin-destination (OD) demand estimation for transportation forecasting is advantageous in terms of accuracy and reliability because it is not affected by hourly variations in the OD distribution. In this paper, we propose a method… read more here.
Keywords: traffic; estimation; assignment; time ... See more keywords