Optibus announces expansion of generative AI capabilities for transit schedulin and operations - Sustainable Bus
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Optibus announces expansion of generative AI capabilities for transit schedulin and operations - Sustainable Bus
"Optibus AI features a growing number of industry-specific AI agents fully integrated across the platform. "Tools are embedded where and when transportation professionals need them most. With intelligence layers for every stage of work, agencies and operators can redefine planning, scheduling, and beyond with intuitive, platform-native capabilities", the Israeli tech company states. Optibus expands Artificial Intelligence skills Optibus suite suite includes a Generative AI agent that uses natural language to create complex scheduling rules: "Schedulers type preferences in plain language, such as "No more than ten duties over nine hours," and Optibus instantly generates accurate, ready-to-use logic. No more specialized coding, configuration, or steep learning curves. Just fast, intuitive scheduling powered by AI", reads Optibus announcement. Preference Designer is said as reducing errors and rule configuration time by up to 70%."
""Generative AI is kicking-off a new chapter in how public transportation is planned and operated. Optibus AI turns decades of complex processes into simple, intuitive tools that empower teams""
Optibus introduced Optibus AI, positioning it as a Generative AI suite purpose-built for public and private operators and agencies. The platform integrates industry-specific AI agents across workflows, embedding tools where transportation professionals need them and adding intelligence layers for planning, scheduling, and operations. A Generative AI agent converts plain-language preferences into complex scheduling rules, eliminating specialized coding and reducing rule configuration time by up to 70% via Preference Designer. Additional agents planned include Schedule Analysis and Multi-Step Automation to compare scenarios and produce presentation-ready insights. Optibus notes widespread AI exploration in transit but limited measurable impact due to poor workflow integration.
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