Dynamic demand estimation for an AMoD system in Paris
OPEN ACCESS
Loading...
Author / Producer
Date
2019-06-10
Publication Type
Conference Paper
ETH Bibliography
yes
Citations
Altmetric
OPEN ACCESS
Data
Rights / License
Abstract
A simulation framework is presented that equilibrates a given automated taxi fleet with (a) consistent prices to provide the service and (b) customer behaviour that reacts to costs and level of service alike. In a first attempt, a hypothetical AMoD service within the highway ring of Paris is considered. The “dynamic demand” case yields a demand of around 1.2M trips per day for such a service at the optimal fleet size of 25k vehicles. This number is considerably lower than 2.3M trips that potentially could be served in a “static maximum demand” case which has often been used as a basis for previous fleet sizing studies. While the authors acknowledge a multitude of assumptions that constitute the present model, clear pathways to its improvement, methodologically and data-wise, are provided.
Permanent link
Publication status
published
External links
Editor
Book title
2019 IEEE Intelligent Vehicles Symposium (IV)
Journal / series
Volume
Pages / Article No.
260 - 266
Publisher
IEEE
Event
30th IEEE Intelligent Vehicles Symposium (IV 2019)
Edition / version
Methods
Software
Geographic location
Date collected
Date created
Subject
Organisational unit
03521 - Axhausen, Kay W. (emeritus) / Axhausen, Kay W. (emeritus)
02655 - Netzwerk Stadt u. Landschaft ARCH u BAUG / Network City and Landscape ARCH and BAUG
Notes
Conference lecture held on 10 June 2019