102 Car4Share E. Fleischmann, A. Michel and A. Piatto DTU Transport, Technical University of Denmark INTRODUCTION Although car traffic is necessary as it is required to fulfil a need it creates a series of problems. Besides every day present congestion and noise, NOx, SOx, PM and CO2 emissions are emitted. The best approach to tackle this problem is to reduce the total number of cars. The innovative idea is to create a shared economy model that let people travel together. The enabler for this new business is autonomous driving cars, as it makes repositioning of the vehicle without human interaction possible. The service is provided by an easy-to-use smartphone app that connects the user to the vehicle. CONCEPT People can enter their request in the app Car4Share (either regular or one-time travel) and get assigned to a car based on their travel. This model mainly is suitable for times when a lot of people travel in one direction with similar starting and ending points, such as people going from/to work in the morning and afternoon. In addition to this feature, the users of the app can also rent a car for a certain period. The provided cars in the app are either owned by a private person or offered by a specialized company. Furthermore, the potential of autonomous vehicles can be sustainably integrated in the app, such that cars can drive autonomous to the requested location and no driver has to be assigned to the car. A positive environmental impact is made through the overall reduction of cars (less congestion and noise), shared transport capacity (less emissions per passenger-km) and less accidents (less cars and autonomous driving). METHOD In order to show the positive environmental impact of the app Car4Share, two possible routes with an autonomous car are selected. Both, individual travel and shared autonomous driving are compared in terms of CO2 emissions per passenger-km. RESULTS The results of the calculations show, that fuel consumption and a great amount of CO2- emissions can be saved by using service of the app. Moreover congestion can be reduced. The results are shown in Table 1. Route 1 Route 2 Route section Total fuel consumption kg CO2 Emissions g/p-km Route section Total fuel consumption kg CO2 Emissions g/p-km Individual Cars 4,57 96,7 Individual Cars 2,08 96,7 Autonomous car 1,72 34,2 Autonomous car 2,01 93,3 Total balance 2,85 62,51 0,07 3,38 Table 1: Comparison of Fuel Consumption and Emissions 501 TRANSPORT LAPTOP CONCEPT MASTER LEVEL COURSE/PROJECT
Grøn Dyst 2016
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