citysim
CitySim Predictive Flow Simulations in Varanasi, India
Authored by Dr. Pieter Fourie with Team CityData.AI
citysim
Authored by Dr. Pieter Fourie with Team CityData.AI
uam
My previous blog post, "Ideal Take-off and Landing Spots for eVTOLs," explored the crucial first step in realizing the potential of Urban Air Mobility (UAM): identifying optimal locations for vertiports. We delved into the factors influencing vertiport placement, considering aspects like proximity to demand centers, airspace regulations, and
cityflow
Understanding city-wide mobility patterns is crucial for effective urban planning. CITYFLOW.ai leverages GPS mobility data to provide a powerful lens into these patterns. However, the data represents a sample of the population, not the entire city. This blog post delves into the technical process of scaling up trip counts
uam
A Scientific Approach to Vertiport Site Selection for Urban Air Mobility using CITYSIM Imagine a future where buzzing electric vehicles weave through cityscapes, whisking passengers between rooftops. This vision of Urban Air Mobility (UAM) promises to revolutionize transportation, but its success hinges on strategically placed vertical take-off and landing locations,
smartmobility
Nos complace compartir que CITYDATA.ai tuvo la oportunidad de participar en el XXII Encuentro de los Congresos Latinoamericanos de Transporte Público y Urbano (CLATPU) que se llevó a cabo en Santo Domingo, República Dominicana, organizado por el Instituto Nacional de Tránsito y Transporte Terrestre 🚌🚦 En el marco de este
mobility
2021 was a stellar year at CITYDATA [https://citydata.ai]. We became the leading provider of mobility intelligence for smart cities. Our data + Ai platform evolved into a collection of apps, SDKs, APIs and cloud services. Government customers, mobility operators, energy companies, infrastructure firms, and enterprise businesses in many countries