Data sheets and brochures

 

 

White Papers

Dynamic scheduling for the autonomous public transportation era

Autonomous driving is here. A few more technical enhancements, a little push on regulation, some more emphasis on education. But it’s coming, faster than we realize. However, with the introduction of this technology many tend to focus on the impact it will have on personal cars, where in fact public transportation may be the segment leading the way of adopting the new technology. The question this paper discuses is weather the implementation of autonomous driving in public transportation, mainly buses, will have a real substantial impact on passengers. Will taking the driver off the equation have any impact on how passengers use buses? And if so, what other technologies are needed to make it happen?

 

 

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Presentation

Case Studies

Case Study – Metronit

Over 250,000 riders travel on Israel’s northern routes – including the cities of Haifa, Nesher, and Krayot. Over the years, this created major overload of cars and busses, which added to the congestion and overall pollution in the area. To mend the situation the Israeli Department of Transportation (DOT) issued a tender for a “Bus Rapid Transit”, or the “Metronit” as called locally. The goal was to improve capacity and reliability compared to a conventional bus system.

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Case Study – Metropoline

Although Optibus OnSchedule™ has been used by Metropoline for only a few months, the bus company reports a positive impact on operational expenditure, due, amongst other factors, to the elimination of deadhead trips. Optimized vehicle schedules enabled Metropoline to reduce their fleet size, while improving quality of service, and avoiding penalties from the Ministry of Transport for delayed or cancelled trips. Most importantly, drivers enjoy better working conditions and convenient working hours with regular breaks in accordance with labor regulations, which assures their loyalty to Metropoline.

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Case Study – Nateev Express

Using Optibus OnSchedule™, Nateev Express compared multiple schedule scenarios to determine the
one that delivered maximum efficiency while matching its operational environment:

  • Optimized depot locations and capacity could save over 600,000 km of deadhead trips per year
  • Fleet size reduced by 10%
  • Cost-efficient application of rest period regulations

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Case Study – Kavim

“Using Optibus’ services we were able to quickly create and test different optimized schedule alternatives, evaluate their actual cost, and prepare a winning applicable plan. This helped us to significantly reduce our operational costs”

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Videos

Optibus Overview Video


 

Optibus OnTime Video

 

Optibus OnSchedule Video