Prospective.io

Founded 2016

Plan, schedule, and coordinate urban public transport fleets using predictive digital twin technology

You can use Prospective to plan, schedule, and run urban fleet networks in coordination with city transport systems. The system simulates passenger demand and travel conditions in a virtual environment before operators roll out new routes. It automatically generates timetables, vehicle rosters, and driver schedules to reduce delays and wasted mileage. During daily operations, it projects real-time service progression to guide dispatch decisions, helping transit agencies and commercial operators minimize passenger wait times while maintaining consistent spacing across bus routes.

What Prospective.io does

Simulate transit network modifications in a digital twinGenerate automated bus timetables and itinerariesAssign vehicle duties to driversPredict fleet delays during live operationsSend service control instructions to vehicle operatorsAnalyze urban traffic congestion impacts on bus arrival timesSimulates route changes and passenger demand in a virtual testing environmentAutomates timetable creation and vehicle duty assignmentsPredicts vehicle progression in real time during live operationsProjects future demand patterns across urban transit corridorsCoordinates fleet movements with surrounding city infrastructure and trafficSuggests dispatch instructions to reduce passenger wait times