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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 -
System level policies for pooled autonomous vehicles
(2021)2021 TRB Annual Meeting OnlineWith the introduction of autonomous vehicles (AV), new operating schemes for public transport services will become available. Autonomous Transit on Demand (AToD) is an attractive alternative to the current modes of transportation. It is a station-based service that allows passengers' pooling in AVs and direct connections from any PUDO (pick-up and drop-off) station to any other without detours or dynamic ride sharing. A minimal necessary ...Conference Paper -
Impact of service design on urban ridepooling systems
(2020)2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC)Ridepooling services promise to provide fast and comfortable transportation at an affordable price level. Several studies and simulations have shown the potential for positive impacts on congestion, pollution and consumed resources by replacing current car trips or taxi rides with a fleet of (autonomous) ridepooling vehicles. In this work, demand and supply data from a ridepooling company in Hamburg, Germany, are taken to build up a ...Conference Paper -
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A novel link-based approach for measuring walking accessibility
(2023)In this study, we develop a link-based walking accessibility measure considering the impacts of seven street-level walking attributes, including sidewalk, footbridge, staircase, at-grade crosswalk, tunnel, ramp, and escalators. The link-based recursive logit model is adopted to investigate pedestrians’ walking path choice problem. The calibrated model parameters are used in a link-based approach for measuring walking accessibility. This ...Conference 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 -
Modeling sustainable mobility futures using an automated process of road space reallocation in urban street networks
(2024)Transport policy research must explore different more or less radical mobility futures that would be able to rapidly reduce the carbon footprint of transport. In this paper, we present a method for modeling one such future by focusing on the allocation of road space between different modes of transport. In a case study for Zurich, Switzerland, we apply the method to reshape the street network allocating the maximum possible proportion of ...Conference Paper -
The importance of the social environment in leisure destination choice
(2024)Scientific literature has started to consider social networks’ impact on travel behavior and other travel-related decisions; the focus has been predominantly on ego-centric social networks. In this paper, we propose another type of social influence that can affect travel behavior: the social environment. To understand this phenomenon, we have estimated a Mixed Multinomial Logit model to see how the homophilic preferences of individuals ...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