Replan develops a cloud platform for agent-based, 4-step, and microsimulation modeling to support strategic decision-making in transportation. The platform allows users to build, calibrate, and run complex mobility scenarios for public transit, logistics, and EV infrastructure planning without requiring coding expertise. This service delivers precise traffic analysis and demand forecasting to optimize urban mobility systems.
Funding
$84.2K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Traditional transportation planning and demand forecasting often struggle to accurately model complex, emergent behaviors of individual travelers and vehicles. This leads to suboptimal infrastructure investments, inefficient traffic flow, and challenges in adapting to new mobility paradigms like electric vehicles and on-demand services.
Solution
Replan provides a cloud-based agent-based modeling (ABM) platform designed to simulate intricate transportation systems. The platform allows users to build, calibrate, and deploy custom ABM or traditional 4-step models, enabling detailed analysis of mobility patterns. By leveraging data-driven techniques and automated data import for sources like GTFS and OSM, Replan facilitates precise traffic analysis, demand forecasting, and scenario simulation. This empowers cities and businesses to optimize mobility, plan infrastructure, and evaluate the impact of new technologies with greater accuracy and efficiency.
Target Audience
Replan targets urban planners, transportation consultants, logistics companies, and government agencies responsible for mobility and infrastructure development.
Features
- Cloud-based platform for agent-based, 4-step, and microsimulation modeling.
- Automated data import capabilities for transportation infrastructure, demographic data, GTFS, and OSM.
- Calibration tools for demand modeling and custom module integration.
- Scenario simulation execution via a user interface or API, with no coding required.
- Support for diverse transportation scenarios including public transit, on-demand mobility, EVs, AVs, and logistics.
- Specific use case modules for delivery logistics routing, public transit and road infrastructure planning, and EV charger placement optimization.
- Capabilities for fleet optimization, route planning, and trade-off analysis between cost, time, and coverage.
- Tools for simulating network changes and infrastructure upgrades with real travel demand and multimodal flows.