It’s About Time
Preventing Transit Delays With Better Planning
Join Optibus, the leading vendor of city-wide mass transportation planning, for a live webinar
In this webinar, we will review the importance of on-time performance for passengers' use of public transportation. In addition, we will discuss ways to improve on-time performance. Transit managers, as well as planners and schedulers, will learn how to evaluate and compare costs and resource implications of the different on-time performance scenarios.
Date: May 30th, 2018
Time: 11:00 am EDT, 3 pm GMT
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Dr. Robert Ishaq - a Technion graduate with a PhD in transportation engineering. He is a research associate at the Transportation Research Institute and a lecturer at the Technion Faculty of Civil and Environmental Engineering. His research interests are in the field of demand modeling and decision making models. In addition to his work as a researcher, Dr. Ishaq is a consultant for public infrastructure companies on issues such as strategic transportation plans and demand modelling for public transport planning.
Shaun Bretstein - is leading Optibus' Customer Success. He is a senior business professional with over 17 years of global experience. Shaun has an extensive experience in dynamic scheduling optimisation and transport planning and improving operational excellence across wide range of industry sectors. Shaun’s background includes sales, strategic consulting and large-scale IT project implementation. He holds a BA in Computer Sciences from the Academic College of Tel Aviv Jaffa.
Based on proprietary AI and optimization algorithms, Optibus provides a dynamic platform to enable public transportation and fleet operators to optimize resource allocation and improve the transport experience, while saving their clients tens of millions of dollars annually. Powering some of the largest transit operators worldwide, Optibus is innovating transit planning to include electric vehicles scheduling, on-time performance optimization, using interactive and dynamic scheduling.