Taking Shortcuts: Algorithms, Data and Machine Learning in Mobility

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.