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Routable AI: affordable and convenient on-demand shuttles to connect neighborhoods.

We enable on-demand, affordable door-to-door shuttle services. Our software enables shared rides that are highly efficient and convenient.

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In 2050, close to 70% of our population is projected to live in urban centers. At the same time, our public transportation struggles to serve the existing population effectively, with 45% of people having no adequate access. Even worse, 55% of taxi and ride-sharing demand is coming from the lowest income group in the US due to unavailability of alternatives in their living areas.

At Routable AI we believe that to keep our cities livable, we need more affordable, convenient and equitable transportation. We envision a city where a small fleet of shuttles and busses provide completely on-demand, shared and affordable transportation. Think of it as UberPool on steroids. 

It is however extremely difficult to compute routes for such a fleet to effectively use the seats, while still providing passengers with an efficient ride. This requires a whole new order of optimization algorithms, that have not been available before. 

At Routable AI we have developed a game-changing routing technology originating from 5 years of MIT research to efficiently use high-capacity vehicles completely on-demand while still providing everyone with an extremely efficient ride. We can perform dynamic routing for vehicles shared by 1 to 12+ passengers at the same time. 

The video below visualizes what such a fleet looks like. All the dots in this simulation are 7-seater vehicles, and the lines are their planned routes. The red dots on the routes are passenger pick-ups and drop-offs. The vehicle routes continuously adapt to most efficiently serve the passengers. 



Describe who will use your solution (1,000 characters)

We work together with transportation companies. The transportation companies provide the vehicles and the drivers. Routable AI provides the full technology stack to operate their shuttles on-demand. We provide the phone apps for drivers (to see their routes and pick-ups) and riders (to book rides). We also provide our proprietary fleet management software that continuously determines which routes the vehicles should follow to optimally transport all passengers. The end users are the passengers that want to travel from A to B in an affordable and convenient way. They download the rider app, and use this to communicate their desired pick-up and drop-off locations. Within minutes they know which shuttle is going to pick them up, and what their guaranteed latest arrival time is.

Describe your solution's stage of development

  • Pilot - you have implemented your solution in a real-world scenario

Insights from previous testing (500 characters)

In order to operate an efficient shared transportation service with a high customer satisfaction, it is not enough to just optimize throughput, waiting time and delay of passengers. We have found that additional constraints are required that increase the experience of efficiency for the passenger. E.g. sometimes it might be optimal for a vehicle to backtrack a part of its route to pick up a newly placed request. This however negatively influences the experience of the customers already on board.

Tell us about your team or organization (500 characters)

Routable AI is an MIT & TU Delft spin-off founded by two professors and two graduate students specialized in mathematical optimization for mobility systems. We build technology to efficiently run on-demand shuttles and buses. Working together with transportation providers we plan to revolutionize urban mobility by providing a service that is much more convenient and sustainable than existing public transportation, and more affordable than a private vehicle.

Size of your team or organization

  • 2-10

Team or Organization URL

http://www.routable.ai

Funding Request

  • $100,000

Rough budget (500 characters)

The budget will be allocated towards the running our technology platform and the costs to operate a fleet of shuttles in the pilot area.

Describe how you would pilot your idea (1000 characters)

We want to run a pilot in a selected neighborhood with a fleet of 5 shuttles running on Routable AI's software for 3 months. We will work together with a local shuttle company to provide and operate the vehicles. During the pilot, Routable AI's team will analyze and adapt the routing technology, and will evaluate the effectiveness of running the shuttle fleet to provide transportation for the selected neighborhood.

Describe how you would measure the success of your pilot (1000 characters)

There are three main factors that we want to measure: 1. Customer satisfaction of the end user. How satisfied are people with the service, and to what extend does it solve their current transportation issues. What is the influence of different operating parameters on their satisfaction? 2. Utilization of the service. How many people make use of the service on a daily basis and use it to replace their current mode of transportation. 3. Operating costs. How many passengers can be served per vehicle per hour. Is this service a cost effective alternative and is it economically viable to deploy it on a larger scale?

Social Media

@RoutableAI

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