Join us on December 6, 2024, from 10:00 to 11:00 CET for the third instalment of the EMERALDS webinar series, focusing on Use Case 3: Trip Characteristics Inference and Traffic Flow Data Analytics. This session will explore how advanced data analytics can optimise urban mobility, using Riga, Latvia, as a pilot city.
As urban populations shift towards lower-density areas, cities like Riga face increased commuter traffic, necessitating efficient public transport systems. This webinar will explore the development of the EMERALDS toolset and its progress in the city of Riga, aimed at analysing and forecasting passenger travel behaviour to enhance public transport networks. Currently, approximately 70-80% of ticket validations (entry points) and 30-40% of exit points are geo-located. The EMERALDS project aims to improve these algorithms to achieve 100% geo-location accuracy, thereby providing municipalities and public transport providers with valuable insights into passenger travel habits and multimodal potential.
Key topics to be covered include:
- Data Aggregation Challenges: Addressing the complexities of compiling comprehensive datasets on travel habits, including the validation of entry, exit, and transfer points, and the involvement of multiple stakeholders.
- Algorithm Enhancements: Discussing improvements to existing algorithms to achieve full geo-location of ticket validations and enhance accuracy.
- AI Integration: Exploring the use of artificial intelligence to infer additional trip characteristics, such as popular destinations and probability distributions, especially for trips without subsequent data points.
- Future results & concrete application of the UC3 in the context of Riga
| Session | Timing | Speaker(s) | Topics and Discussion |
|---|---|---|---|
| Overview | 10:00 - 10:05 | Konstantinos Dafloukas | General overview of the EMERALDS project |
| Innovation aspects of the project | 10:05 - 10:15 | Winnie Daamen | Overview of the Use Cases with particular focus on UC3 |
| UC3 Status & progress of implementation of EMERALDS | 10:15 - 10:35 | Jurijs Kondratenko | Overview of the progress so far from technical point of view |
| Future results & concrete applications of the UC3 in the context of Riga | 10:35 - 10:50 | Kristine Eglite | Practical applications//end-user perspective |
| Q&A session | 10:50 - 11:00 | All the panelists |
Watch the recording!
Who should attend?
This webinar is essential for urban planners, transportation engineers, data scientists, and policymakers interested in leveraging data analytics to improve urban mobility.