This is a simple simulation of the operational characteristics of an autonomous car fleet in Canberra. It investigates the performance of such a fleet providing the transport needs of citizens under a variety of conditions using parameters which you may specify yourself.
The computational requirements of this model are much larger than a normal web page. Even using a modern browser on the latest desktop hardware, it may take a minute or two to run. A system running the equivalent of a Core-i5 or i7 processor with 4GB of memory and the most recent version of Chrome, Firefox, Safari or IE10/IE11/Edge is recommended.
More information about this simulation is available here.
Passenger stats |
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Wait stats |
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Fleet stats |
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Power stats |
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Choose from one of these presets and/or roll your own |
Fleet size, excluding spares: | More cars means fewer & shorter peak waits but greater underultisation outside peaks. more | |
Purchase cost: $ | Excludes acquistion and commissioning costs. more | |
Residual Value: $ | Value of car at end of life after disposal costs. more | |
Useful Life: months | Number of months in the fleet. more | |
Financing interest rate: % | Cost of funds used to purchase cars (and chargers). more | |
Per-km costs: cents/km | Cleaning and charging labour costs, tyres, general maintenance and repairs per km travelled more | |
Annual non per-km costs: $ | Fixed annual costs for insurance, registration, comms, fleet management and contingencies. more | |
Real-world Maximum Range: km | This simulation charges to only 80% of this value, so actual range will be 80% of this. It also recharges when 25% of range is remaining. more | |
Energy usage per km: Wh/km | The average energy used for all purposes (drivetrain, A/C, lights, compute etc) to travel 1 km. more | |
Passenger capacity: | The maximum number of passengers per car. more | |
Spares purchased: % | Additional cars kept as spares as a % of the cars on the road. more |
Number of chargers: | More are required for more cars, smaller car range, smaller charge rate. more | |
Charge power: kW | 3.3kW is a common domestic rate, 120kW-250kW is Tesla supercharger rate. Affects charge time (and hence number of chargers) and grid connection capacity requirements. more | |
Purchase cost: $ | Cost to purchase and install charger. more | |
Useful Life: months | Number of months before replacement. more | |
Annual Costs: $ | Rental, repairs, admin etc per charger. more | |
Cost of electricity per kWHr: $ | Same bulk rate as an aluminium smelter? Or maybe 0.20 from renewables? more |
Journeys per day: | 1.1 million is a reasonable guess of passenger vehicle journey demand in 2022. more | |
Per hour distribution: |
Set the relative journey loads by hour. more
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Peak flag fall: $ | Flag fall for peak period journey. more | |
Peak per km rate: $ | Fare for each km of peak period journey. more | |
Off-peak flag fall: $ | Flag fall for off-peak period journey. more | |
Off-peak per km rate: $ | Fare for each km of off-peak period journey. more |
Annual Fixed System cost: $M | Fixed annual cost of running the system, unrelated to number of cars. more | |
Name: | Optionally provide a name for this combination of parameters. |
The graph shows the number of journeys starting each minute of the day. Those journeys starting within 1 minute of being requested are shown in blue, delayed journeys in grey. The graph resolution is such that the data shown represents average activity for 5 minutes.
The text shows the number of journeys, and the peak/off-peak split. It also shows the average occupancy of cars over the entire day. Note that a journey may be comprised of several legs; the occupancy table reports data for legs.
The graph shows an area graph of wait times exceeding 1 minute for each minute of the day against the left axis and the percentage of journeys starting within 1 minute of being requested against the right axis. The graph resolution is such that the data shown represents average activity for 5 minutes.
The text shows the distribution of wait times as an absolute number and percentage over the entire day. It also summaries the percentages of journeys with wait times exceeding 1 minute and 3 minutes, and shows the average wait time for all journeys which had a wait time exceeding 1 minute.