Learn More: New Forecast on Widespread Autonomous Technology by 2033
Service Management Platform for Autonomous Mobility Networks
Built to enable rapid deployment of autonomous passenger services, platform delivers observability and service management across autonomous fleets.

Beep launches AutonomOS, a service management platform for autonomous mobility networks.
Photo: Beep
Beep, provider of autonomous shared mobility solutions, launched Beep AutonomOS, a software platform built to allow public transit operators and mobility-as-a-service companies to integrate autonomous mobility services rapidly and seamlessly into their solutions.
Software-driven mobility provides an opportunity to deliver a radically enhanced passenger experience through the implementation of autonomous mobility networks that combine real-time service optimization with greater efficiency and performance.
As autonomous multi-passenger services begin deployment at scale, a solution for service management and remote supervision will be essential.
Revolutionizing Autonomous Mobility with Safe and Scalable Solutions
AutonomOS presents a vehicle-agnostic autonomous solution specifically crafted to offer secure, scalable, and cost-efficient autonomous mobility services for multiple passengers.
Tailored to cater to the requirements of both public transit operators and mobility service providers, AutonomOS delivers a comprehensive suite of services for the implementation and oversight of autonomous passenger services.
This solution can function independently or seamlessly integrate into multimodal operations.
By providing a consolidated perspective on service performance, fleet well-being, and on-road activities, AutonomOS ensures a cohesive management approach.
AutonomOS Transforms Autonomous Passenger Services
Governance tools are in place to guarantee adherence to missions and prioritize passenger safety. The solution's service optimization capabilities incorporate service performance metrics, smart city infrastructure data, and ridership information to dynamically enhance service efficiency, elevate passenger experiences, and optimize ridership across the entire system.
Key features include:
Service definition and planning functions support a variety of service modes from fixed route to demand-responsive variants
Machine learning-powered in-cabin monitoring enables rapid response by remote supervisors in the event of a passenger safety or roadway issue
Optimization engine drives real-time orchestration to maximize service efficiency
Connected platform integrates smart city infrastructure to provide greater context into site-wide operating conditions
Compatible with data standards including GTFS (General Transit Feed Specification), and GTFS-RT
Support for leading ADS providers and equipped with a data protocol and toolkit that enables rapid integration with further platforms
Enterprise-Grade Levels of Scalability & Performance
Delivered as a software-as-a-service offering, Beep AutonomOS has been built to enterprise-grade levels of scalability, performance and information security.
The platform provides interfaces to seamlessly incorporate an autonomous service into an existing multimodal operation, with integrations and APIs available for leading fleet management and operations platforms, and the ability to extend route and service visibility into third-party booking and journey planning platforms.
“Autonomous vehicles are capable of safely navigating our streets from waypoint to waypoint, but lack the concepts of mission, service and passenger,” said Joe Moye, CEO for Beep.
“Beep AutonomOS fills a void in the autonomy landscape by introducing management and orchestration logic enabling the integration of autonomous vehicles into public mobility networks. More importantly, AutonomOS adds an additional layer of functionality to address passenger safety and comfort concerns in advance of fully unattended autonomous deployments,” Moye added.
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