479.575 PEOPLE
| People | Locations | Statistics |
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| Ziakopoulos, Apostolos | Athens |
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| Vigliani, Alessandro | Turin |
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| Catani, Jacopo | Rome |
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| Statheros, Thomas | Stevenage |
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| Utriainen, Roni | Tampere |
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| Guglieri, Giorgio | Turin |
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| Martínez Sánchez, Joaquín |
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| Sommer, Carsten | Kassel |
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| Liu, Meiqi |
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| Lučanin, Vojkan | Belgrade |
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| Tanaskovic, Jovan |
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Hadachi, Amnir
University of Tartu
in Cooperation with on an Cooperation-Score of 37%
Topics
- crash
- machinery
- learning
- machine learning
- injury
- data
- estimate
- estimating
- filter
- positioning
- sensor
- position fixing
- global positioning system
- radio equipment
- normal distribution
- cellular radio
- calibration
- transport demand
- vision
- transformer
- researcher
- decision making
- architecture
- internet
- cloud
- fog
- migration
- pedestrian
- urban area
- pedestrian flow
- case study
- city
- simulation
- optimisation
- implementation
- employed
- modal split
- smart city
- real time control
- driving
- deep learning
- autonomous automobile
- trajectory
- particulate
- telephone
- cellular telephone
- reconstruction
- camera
- laser radar
- survey
- travel
- travel time
- modeling
- neural network
- pavement
- accelerometer
- mobility pattern
- mining
- hub
- data collection
- planning
- behavior
- app
- foundation
- recommendation
- big data
- handheld computer
- state of the art
- scientist
- algorithm
- forecasting
- chain
- Markov chain
- Monte Carlo method
- radar
- driver
- computer science
- intersection
- flexibility
- probe vehicle
- rural area
- time interval
- digital map
- traffic signal
- referencing
- show 55 more
Publications
- 2023Exploring Machine Learning Techniques to Identify Important Factors Leading to Injury in Curve Related Crashes
- 2023Application of Gaussian Mixtures in a Multimodal Kalman Filter to Estimate the State of a Nonlinearly Moving System Using Sparse Inaccurate Measurements in a Cellular Radio Network
- 2022Real-Time Calibration of Disaggregated Traffic Demand
- 2022Transformer for Multiple Object Tracking: Exploring Locality to Vision
- 2022Adaptive Edge Process Migration for IoT in Heterogeneous Fog and Edge Computing Environments
- 2022A Real-Time Model for Pedestrian Flow Estimation in Urban Areas based on IoT Sensorscitations
- 2022Real-Time System for Daily Modal Split Estimation and OD Matrices Generation Using IoT Data: A Case Study of Tartu Citycitations
- 2021This is The Way: Sensors Auto-calibration Approach Based on Deep Learning for Self-driving Carscitations
- 2021Mobile Positioning and Trajectory Reconstruction Based on Mobile Phone Network Data: A Tentative Using Particle Filtercitations
- 2021NetCalib: A Novel Approach for LiDAR-Camera Auto-calibration Based on Deep Learning
- 2021A Survey on the Advancement of Travel Time Estimation Using Mobile Phone Network Datacitations
- 2021Towards state-full positioning of mobile subscribers through advanced cell coverage modeling techniquecitations
- 2020Road Surface Recognition Based on DeepSense Neural Network using Accelerometer Datacitations
- 2020Mining Large-scale Mobility Patterns Using Mobile Phone Network Data
- 2020Mobile Fog Computing
- 2019Mobility Episode Discovery in the Mobile Networks Based on Enhanced Switching Kalman Filtercitations
- 2019From Mobility Analysis to Mobility Hubs Discovery: A Concept Based on Using CDR Data of the Mobile Networkscitations
- 2018Mobile Big Data: Foundations, State of the Art, and Future Directionscitations
- 2014Cell Phone Subscribers Mobility Prediction Using Enhanced Markov Chain Algorithm
- 2013Approach to estimate travel time using sparsely sampled GPS data in urban networkscitations
- 2012Practical Testing Application of Travel Time Estimation Using Applied Monte Carlo Method and Adaptive Estimation from Probes
- 2011An Application of the Sequential Monte Carlo to Increase the Accuracy of Travel Time Estimation in Urban Areascitations
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