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Found 11 papers, 2 papers with code
Premagic and Ideal Flow Matrices
Several interesting properties of a special type of matrix that has a row sum equal to the column sum are shown with the proofs.
Combinatorics 40C05 Matrix methods
Determination of Pedestrian Flow Performance Based on Video Tracking and Microscopic Simulations
Another design criterion to measure the impact of design change is measured by the pedestrian flow performance index.
Tracking System to Automate Data Collection of Microscopic Pedestrian Traffic Flow
To deal with many pedestrian data, automatic data collection is needed.
Tracking Algorithm for Microscopic Flow Data Collection
This paper describes a new and fast algorithm to track the movement of many individual vehicles or pedestrians
Multi Exit Configuration of Mesoscopic Pedestrian Simulation
A mesoscopic approach to modeling pedestrian simulation with multiple exits is proposed in this paper.
Comparison of several short-term traffic speed forecasting models
The widespread adoption of smartphones in recent years has made it possible for us to collect large amounts of traffic data.
Microscopic Pedestrian Flow Characteristics: Development of an Image Processing Data Collection and Simulation Model
It was revealed that the microscopic pedestrian studies have been successfully applied to give more understanding to the behavior of microscopic pedestrians flow, predict the theoretical and practical situation and evaluate some design policies before its implementation.
Q-Learning with Basic Emotions
Q-learning is a simple and powerful tool in solving dynamic problems where environments are unknown.
OpenTripPlanner, OpenStreetMap, General Transit Feed Specification: Tools for Disaster Relief and Recovery
Open Street Map, which provides mapping data to Open Trip Planner, is one of the most well-known open source international repository of geographic data.
Background Image Generation Using Boolean Operations
Tracking moving objects from a video sequence requires segmentation of these objects from the background image.
