Ab Initio Software: Difference between revisions

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Contact for 2021:  
Contact for 2022:


Lauren Robinson <LRobinson@ABINITIO.com>
Lauren Teasdale <LTeasdale@ABINITIO.com>


Idea for 2022:


Potential Client: Arley Anderson or Owen Astley
Centralized control of self-driving trucks
Autonomous vehicles are likely a wave of the future.  A lot of effort is going into automating the control of individual vehicles to provide a self-driving version of our current experience.  An alternative is centralized control of fleets of vehicles to optimize large-scale traffic flow.  This is a simpler problem which might be very appealing for transport of goods by truck.  The brief is to build a simulation environment to demonstrate centralized control of a fleet of trucks.  The simulation should consist of three elements: a) a traffic optimization algorithm which achieves maximal transport of goods, given boundary conditions for trucks joining and leaving the flow of traffic, b) a visualization of the traffic flow, c) control of the traffic variables, including highway pattern (on-ramps, off-ramps), rates of trucks entering and leaving the traffic pattern, basic dynamic properties of trucks (e.g. maximum rate of acceleration/deceleration).


The impact of school bubbles on the spread of Covid-19
Potential Client:  Arley Anderson


Across the UK students have gone back to school amid the pandemic and instead of social distancing schools are using year-group "bubbles" to mitigate spread of covid-19.  Students however go home to families where their siblings are in other year-group bubbles while their parents are social distancing among the general population.  Write an application to model and visualize the mixing of infection between the general, parent and student populations, taking into consideration bubble size, classroom density, a variable infection rate based on duration of exposure and social distance, and parental risks of exposure in the workplace and in daily life (shopping, gym, restaurants/pubs/nightlife, etc).  Investigate the impact and effectiveness of contact tracing and self-isolation in the context of the school bubble model.
2021 project: [[Crossing the Bubbles]]

Latest revision as of 16:34, 4 December 2021

Contact for 2022:

Lauren Teasdale <LTeasdale@ABINITIO.com>

Idea for 2022:

Centralized control of self-driving trucks

Autonomous vehicles are likely a wave of the future. A lot of effort is going into automating the control of individual vehicles to provide a self-driving version of our current experience. An alternative is centralized control of fleets of vehicles to optimize large-scale traffic flow. This is a simpler problem which might be very appealing for transport of goods by truck. The brief is to build a simulation environment to demonstrate centralized control of a fleet of trucks. The simulation should consist of three elements: a) a traffic optimization algorithm which achieves maximal transport of goods, given boundary conditions for trucks joining and leaving the flow of traffic, b) a visualization of the traffic flow, c) control of the traffic variables, including highway pattern (on-ramps, off-ramps), rates of trucks entering and leaving the traffic pattern, basic dynamic properties of trucks (e.g. maximum rate of acceleration/deceleration).

Potential Client: Arley Anderson

2021 project: Crossing the Bubbles

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