Presentation is loading. Please wait.

Presentation is loading. Please wait.

Simulation of a shared fleet of autonomous cars in Canberra

Similar presentations


Presentation on theme: "Simulation of a shared fleet of autonomous cars in Canberra"— Presentation transcript:

1 Simulation of a shared fleet of autonomous cars in Canberra
Kent Fitch Project Computing Pty Ltd 6th Australian ITS Summit August 2018

2 Key Result Company The most economical and efficient shared AV fleet will require journeys to be shared during peak periods.

3 35km 25km Only 400k people, but they are spread thinly

4 Tidal flows dominate periods of peak demand Morning ...

5 Tidal flows dominate periods of peak demand ... Afternoon

6 Convenience High Uptake Model Cost Service requirements for
Door-to-Door 24x7 On demand (no booking) > 98% within 1 minute > 99.5% within 3 mins No slower, end-to-end, than private car Cost Cheaper than private car Service requirements for High Uptake Model 750,000 weekday journeys

7 Vehicle Base Model Cost: $40,000 Spares: additional 5%
Life: 3 years zero residual value Range: 200 km usable Maintenance + cleaning: $2000pa + 2.5c/km Efficiency: 6km/kWHr

8 Charging stations Base Model Cost: $15,000
Life: 10 years zero residual value Rate: 75kW, 80% efficient (meter to motor) Maintenance + rent: $3000pa Electricity: 20c/kWHr

9 All capital is borrowed at 10%pa
Base Model Financing All capital is borrowed at 10%pa $

10 Tariff Peak Weekdays 7-9am, 3-6pm 40c flagfall + 25c/km Base Model
Off peak c flagfall + 25c/km Shared journeys am, 3-7pm Flagfall $0.40 Trip $2.75 Extras $0.00

11 23,000 Service outcome for 1,500 High Uptake Model 2.5GWHr
Cars 23,000 (plus 5% spares) Charging stations 1,500 Energy 2.5GWHr per day Surplus after financing $75 million per year Service outcome for High Uptake Model 750,000 weekday journeys

12 57% Service outcome for High Uptake Model 22% km driven
Cars in passenger use 57% over 24 hours Dead running (transfers) 22% km driven Ratio of total km travelled to passenger service km 1.15 Service outcome for High Uptake Model 750,000 weekday journeys

13

14

15

16

17 Passenger wait times Minutes <= 1 98.3% 1 - 2 1.5% 2 - 3 0.14%
3 - 4 0.04% 4 - 5 0.01% 5 - 10 Maximum wait 7 minutes % journeys with wait > 1 minute 1.7% % journeys with wait > 3 minutes 0.06%

18 Financial summary, one vehicle, weekday
Revenue $ Expenses $ Fares Capital & interest Power & charger Rego/insurance/comms/admin 6 Maintenance 84 Weekday surplus: $19 per vehicle Weekend-day loss: $12 per vehicle Annual surplus: ~$3400 per vehicle

19

20

21

22

23

24 But what about congestion?

25

26

27

28

29 2.1 most popular (congested) routes 1.8 - 2.0 to popular destinations
Congestion Now 1.1 travellers/car most popular (congested) routes to popular destinations network average Simulation during peak

30 Congestion Q. But don’t the extra vehicle km travelled due to unoccupied transfers increase congestion? A. No - journeys are unoccupied only in inverse proportion to demand for travel along that route. Unshared private vehicles Shared AV fleet

31 Shared journeys drive a virtuous chain...
Better, cheaper service Higher uptake Faster response Higher utilisation Lower costs Less congestion Positive feedback Efficiency increases as average occupancy rises during peaks Vehicles required increases slower than number of passengers

32


Download ppt "Simulation of a shared fleet of autonomous cars in Canberra"

Similar presentations


Ads by Google