A flight or drive through a city should be a special experience. City design requires particular attention due to the increased density population and the ripple affect that occurrences such as accidents, traffic jams, utility errors or bad planning can have on the entire population.

A small fire in a rural neighbourhood may cause damage to one or two buildings. The same fire may burn up a block or even engulf entire regions within the city if not contained, due to the proximity and the conditions that allow for a fire to spread. A designer has to think about special features of a city which are practical and safe for users in the best and worst case scenarios.

At Memoriseone we create computer assisted models of real life scenarios and try to simulate the worst and best outcomes of probable eventualities.

Here we take a glimpse into improvements that can be made, assisting to plan, regulate and eradicate environmental issues before the problem arises. Our designs are AI integrated in preparation for the worst challenges.

AI City

Assisting in the decision-making process and eliminated human error lies at the foundation of AI endeavors.

Creating a safer, cleaner city in which vehicles can carry more passengers without the hazard of human driver irregularities. A place where humans and AI technology become so integrated that we can interact with mass transit systems such as train terminals to influence departure and arrival times, creating a seamless on-boarding process.

An AI that can adapt to our needs enhancing our daily lives and shaping our future.

In developing countries, AI can be used to decipher the most cost-effective mode of transit through examining movement, popular destinations, commute times and related emissions.

AI can assist passengers with multi-modal journeys, e.g. a journey that uses a bus, underground train and then overground tram, navigate between stations and provide monitoring assistance in the event that anyone of the journeys is cancelled or delayed. AI can monitor the passenger progress and provide insight to the locomotive into the whereabouts of the passenger and expected time for on-boarding, providing a more pleasant experience for the passenger and eliminating inefficiencies from empty seats.  

Developed cities that have high density population and suffer from congestion can use AI to limit the couriers responsible for traffic and replace them with drones to carry goods and deliveries. Eliminating the heavy van that finds it difficult to stop and park with every delivery drop off, the drone can whiz through from sender address to delivery address in straight line, drop of the good thereby reducing ground traffic and related emissions.

During flight the drone can also provide insight of the state of the city traffic patterns and assist law enforcement in the monitoring and elimination of illegal practices.