safarzadeh-reza
Ph.D. Candidate | Spatial Data Scientist
https://www.ucalgary.ca/labs/intelligent-geospatial-data-mining/teamCalgary, Canada
Pinned Repositories
comparing-trajectory-clustering-methods
Comparing Different Clustering Methods and Similarity Metrics on Trajectory Datasets
damiirl
Deep Adaptive Multi-intention Inverse Reinforcement Learning
DeepMapMatching
dissertation-irl
ENGO645-Assignments
fc-gaga
GNN4Traffic
This is the repository for the collection of Graph Neural Network for Traffic Forecasting.
kaizen
A library to map match and help tackle the problem of overlapping/intersecting road and building footprint that arises in the process of map making
KDD2021_guizu
Source codes of KDD2021 paper "Generating Mobility Trajectories with Retained Data Utility"
Traccar
GPS Tracking System
safarzadeh-reza's Repositories
safarzadeh-reza/DeepMapMatching
safarzadeh-reza/fc-gaga
safarzadeh-reza/map_matching-1
Algorithms to find the streets that a vehicle should have traveled to generate a given GPS track
safarzadeh-reza/PyMove
PyMove is a Python library to simplify queries and visualization of trajectories and other spatial-temporal data
safarzadeh-reza/Trajectory-Analysis-and-Classification-in-Python-Pandas-and-Scikit-Learn
Formed trajectories of sets of points.Experimented on finding similarities between trajectories based on DTW (Dynamic Time Warping) and LCSS (Longest Common SubSequence) algorithms.Modeled trajectories as strings based on a Grid representation.Benchmarked KNN, Random Forest, Logistic Regression classification algorithms to classify efficiently trajectories.
safarzadeh-reza/3d-bin-packing-problem
A python model of 3D Bin Packing problem
safarzadeh-reza/Awesome-Decision-Making-Reinforcement-Learning
A selection of state-of-the-art research materials on decision making and motion planning.
safarzadeh-reza/BaiduTraffic
This repo includes introduction, code and dataset of our paper Deep Sequence Learning with Auxiliary Information for Traffic Prediction (KDD 2018).
safarzadeh-reza/Configurable-Map-Viewer
Configurable Map Viewer
safarzadeh-reza/fastdtw
A Python implementation of FastDTW
safarzadeh-reza/homework_fall2020
Assignments for Berkeley CS 285: Deep Reinforcement Learning (Fall 2020)
safarzadeh-reza/Inverse-Reinforcement-Learning
Implementations of selected inverse reinforcement learning algorithms.
safarzadeh-reza/inverse_rl
Implementing the two pioneering IRL papers "Algorithms for Inverse Reinforcement Learning" - (Ng &Russell 2000) and "Maximum Entropy Inverse Reinforcement Learning" - (Ziebart et al. 2008)
safarzadeh-reza/lets-do-irl
Inverse RL algorithms (APP, MaxEnt, GAIL, VAIL)
safarzadeh-reza/LiteratureDL4Graph
A comprehensive collection of recent papers on graph deep learning
safarzadeh-reza/map_matching
Map Matching
safarzadeh-reza/noiseplanet
A Python package for Map Matching and Mapping. Research work for Noise Planet center.
safarzadeh-reza/Offline-MapMatching
a QGIS-plugin for matching a trajectory with a network using a Hidden Markov Model and Viterbi algorithm
safarzadeh-reza/pgMapMatch
map-matching of GPS traces
safarzadeh-reza/real-time-units-gps-tracking
Implementation of a real-time GPS tracking service with Python and Apache Kafka.
safarzadeh-reza/Sample-Code_Rout-Planning
Sample code of finding the shortest path in road network using NetworkX
safarzadeh-reza/ST-Matching
A Python implementation of the ST-Matching algorithm
safarzadeh-reza/STGCN-1
A PyTorch implementation of the paper https://arxiv.org/abs/1709.04875
safarzadeh-reza/T-GCN
Temporal Graph Convolutional Network for Urban Traffic Flow Prediction Method
safarzadeh-reza/tf2rl
TensorFlow2 Reinforcement Learning
safarzadeh-reza/tmmpy
Tools for Map Matching using Python
safarzadeh-reza/Traccar_java
Java Source
safarzadeh-reza/Trajectory_Segmentation
This repo contains the code and sample data for "Discovery of Driving Patterns by Trajectory Segmentation" paper.
safarzadeh-reza/vrp-solver
Capacitated Vehicle Routing Problem with Time Windows (CVRPTW) solver written in Python.
safarzadeh-reza/webxr-samples
Samples to demonstrate use of the WebXR Device API