Name: Taking Shortcuts: Algorithms, Data and Machine Learning in Mobility
Start: 2024-12-09T16:00:00.000Z
End: 2024-12-09T18:00:00.000Z
Location: Gett Office

The Mobility/TransitTech industry presents a range of user case challenges that require innovative engineering solutions.
Addressing these challenges involves both standard and unconventional algorithmic approaches, along with data-driven AI applications.

In this meet-up, we will showcase real-world scenarios and the solutions proposed by top engineers from the industry-leading companies Via and Gett.

⏰09.12.24 (Monday), 18:00-20:00
📍 Habarzel 19, Ent D, 1st Floor, Tel Aviv (Gett's Office)

**Agenda:**
**18:00: Gathering & Networking**

**18:30:** **City or Airport - the Driver's Dilemma**
**Speakers: Shir Saadi, Yogev Ladani and Meital Padwa, Industrial Engineering and Management Students, Ariel University**
A recommendation system to help drivers near the airport make an informed decision whether to join the airport queue or head away to a nearby city

**19:00:** **Efficient Route Planning using Contraction Hierarchies**
**Speaker: Amir Livne Bar-on, Lead Scientist, Via**
At the heart of TransitTech systems lies the routing engine. This component is responsible for efficient point-to-point navigation. In this talk, we’ll explore how graph theory is used for these calculations and how the Contraction Hierarchies algorithm enables faster and more scalable route planning.

**19:30:** **Routing Through Traffic**
**Speaker: Or Nachmias, Data Scientist, Gett**
How data is manipulated and utilized to improve route time estimation in a dynamic transportation marketplace.

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Taking Shortcuts: Algorithms, Data and Machine Learning in Mobility

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