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An improved replanning strategy for congested traffic conditions in MATSim
(2020)Procedia Computer ScienceAgent-based transport models such as MATSim have been developed and used for the past few decades to simulate transportation systems in different cities and are capable of accurately reproducing travel patterns at different levels of aggregation. Given their disaggregate representation of both travel demand and supply as well as the high level of spatial and temporal detail, agent-based transport models also have the potential to allow ...Conference Paper -
Comparison of Travel Diaries Generated from Smartphone Data and Dedicated GPS Devices
(2015)Transportation Research Procedia ~ Transport Survey Methods: Embracing Behavioural and Technological Changes Selected contributions from the 10th International Conference on Transport Survey Methods 16-21 November 2014, Leura, AustraliaConference Paper -
Collecting data on leisure travel
(2010)Procedia - Social and Behavioral SciencesConference Paper -
Short-term traffic demand prediction using graph convolutional neural networks
(2020)AGILE: GIScience Series ~ 23rd AGILE Conference on Geographic Information ScienceShort-term traffic demand prediction is one of the crucial issues in intelligent transport systems, which has attracted attention from the taxi industry and Mobility-on-Demand systems. Accurate predictions enable operators to dispatch their vehicles in advance, satisfying both drivers and passengers. This study aims to predict traffic demand over the entire city based on the Graph convolutional network (GCNN). Specially, we divide the ...Conference Paper -
Implementing web-based discrete choice experiments in transportation
(2024)Transportation Research Procedia ~ 12th International Conference on Transport Survey MethodsDiscrete choice experiments (DCE) are widely used in transport planning to elicit peoples' preferences for different alternatives and attributes. They rely on stated and/or revealed preference (SP/RP) data. Over the past years, web-based DCEs became popular in many disciplines. Yet, there is little literature on how to actually implement them. This paper provides a framework to implement DCEs in two ways, using the online survey platform ...Conference Paper -
Mode choice and ride-pooling simulation
(2022)Procedia Computer ScienceOn-demand ride-pooling systems have gained a lot of attraction in the past years as they promise to reduce traffic and vehicle fleets compared to private vehicles. Transport simulations show that automation of vehicles and resulting fare reductions enable large-scale ride-pooling systems to have a high potential to drastically change urban transportation. For a realistic simulation of the new transport mode it is essential to model the ...Conference Paper -
Ride-pooling efficiency in large, medium-sized and small towns
(2021)Procedia Computer ScienceThis study introduces an autonomous ride-pooling service to six communities with varying population sizes and trip densities in the Munich Metropolitan Region. We analyze a) a laissez-faire scenario without additional policies, defining the modal shift through an incremental mode choice model and b) a draconian scenario in which each within-city car trip is replaced by ride-pooling. Results indicate a logarithmic increase in system ...Conference Paper -
Investigating the preferences for the use of urban ridepooling
(2023)hEART 2023: 11th Symposium of the European Association for Research in TransportationThis study investigates the preferences for the use of the urban ridepooling service MOIA in Hamburg, Germany. A survey with over 4,000 (non-)users was conducted and a discrete choice model was estimated to understand users' preferences to use the service. The study provides insights into the sociodemographic characteristics of ridepooling users, their preferences towards the service and first findings on the preferences towards an ...Conference Paper -
Evolutionary modeling of large-scale public transport networks
(2018)2018 TRB Annual Meeting OnlineA genetic algorithm to design efficient large-scale public transport networks is extended. It goes beyond existing approaches by incorporating a dynamic demand response towards both changes in the network and external disruptions. The algorithm is based on an agent-based (MATSim) simulation and tested for the city of Zurich. Compared to the existing public transport system, it proposes a sparser network with substantially higher frequencies. ...Conference Paper -
Structural equations modelling of travel behaviour dynamics using a pseudo panel approach
(2009)Arbeitsberichte Verkehrs- und RaumplanungConference Paper