Bestmile, a mobility services platform used to plan, manage, and optimise autonomous and human-driven vehicle fleets, has launched its new Professional Consulting Service based on its Mobility Services Platform and advanced simulation capabilities.
Called the Service Design Offering, the consulting service enables mobility providers to accurately plan and analyse service performance in advance, accelerating time to market and reducing risks associated with deploying new mobility services.
“While new on-demand mobility services promise to transform transportation for commuters and cities alike, they are fraught with risk. Multiple ventures have fallen very short on success, impact and transit improvement,” said Raphael Gindrat, CEO of Bestmile. “The key to getting these services right is to take realistic demand data and use proven dispatching logic and ride matching algorithms to model and optimise fleet performance.”
No recipe for success
Mobility service providers considering unprecedented new on-demand services face questions that they can’t answer without testing the actual service. Common questions include: how many vehicles will they need, where should they be deployed, and how will the fleet perform in specific areas with unique demand profiles? For many new shared, on-demand services, there is little available in the way of a recipe for success.
Getting on-demand services right
Bestmile has helped multiple public and private mobility providers design, deploy and optimise new mobility services with autonomous and human-driven fleets. The company’s Mobility Services Platform uses advanced scheduling, dispatching, and ride matching algorithms that make it possible to optimise key performance indicators (KPIs) such as waiting times, demand fulfillment, vehicle/asset utilisation and more to find the right balance between the number of vehicles needed, demand characteristics, and service area requirements.
Bestmile’s Service Design Offering uses the same platform that is used for commercial deployments to simulate planned services using actual or expected demand data for a specific service area. This allows mobility service providers to test multiple variables like fleet size, vehicle positioning, vehicle capacity, and waiting and ride time limits, with the goal of optimising KPIs such as vehicle utilisation, excess ride times, and pickup time deviations, all prior to launch.
Chicago case study available
To demonstrate the capabilities of the Service Design Offering, Bestmile utilised demand data from Chicago taxi companies and tested the performance of three services in three different areas: micro-transit in Lincoln Park, shuttle service to and from O’Hare Airport, and citywide ride sharing. Each test used multiple fleet sizes and sharing scenarios to view impacts on ride acceptance rates, ride times and waiting times, and other passenger and operator KPIs.