- Transportation Planning and Optimization
- Urban Transport and Accessibility
- Transportation and Mobility Innovations
- Human Mobility and Location-Based Analysis
- Evacuation and Crowd Dynamics
- Data Management and Algorithms
- Supply Chain and Inventory Management
- Consumer Market Behavior and Pricing
- Vehicle emissions and performance
- Traffic and Road Safety
- Economic and Environmental Valuation
- Traffic Prediction and Management Techniques
- Service-Oriented Architecture and Web Services
- Urban and Freight Transport Logistics
- Traffic control and management
- Energy, Environment, and Transportation Policies
- Auction Theory and Applications
- Geographic Information Systems Studies
- Vehicle Routing Optimization Methods
- Climate Change and Health Impacts
- Online Learning and Analytics
- Finite Group Theory Research
- Real estate and construction management
- Geometric and Algebraic Topology
- Social Acceptance of Renewable Energy
Austrian Institute of Technology
2011-2024
Graz University of Technology
2012
Vienna University of Economics and Business
2007-2009
Route choice in multimodal networks shows a considerable variation between different individuals as well the current situational context. Personalization of recommendation algorithms are already common many areas, e.g., online retail. However, most routing applications still provide shortest distance or travel-time routes only, neglecting individual preferences situation. Both aspects particular importance setting attractivity some transportation modes such biking crucially depends on...
A first step is presented toward a simulation tool for shared space zones, including all three prevailing individual modes of transport: cars, bicycles, and walking. Unlike on conventional roads, the behavior in spaces cannot be modeled by following predefined path strictly obeying traffic rules because architectural design allows many more degrees freedom. Therefore, research focused two main aspects: finding each handling potential conflicts with other individuals. needed urban planners...
Bikesharing systems are becoming popular all over the world. One of remaining problems is that rides not uniformly distributed between stations and certain fill up or empty time. These full lead to demand for bikes return boxes (docks) cannot be fulfilled; situation leads unsatisfied possibly even lost customers. To avoid this situation, provider redistributes in system. Although redistribution such well studied, underlying has yet been modeled serve as an input improve redistribution. For...
Superblocks are traffic-calmed neighborhoods that contribute to climate change mitigation and improve living health conditions of inhabitants without requiring extensive reconstructions. This article investigates experiments with superblocks in Vienna (Austria) from initial discussion the first experimental implementation. We use an integrated mixed-method approach: First, we examined potential benefits three hypothetical superblock sites through transport modeling. then conducted...
Over the last years multiple variations of Social Force model have been proposed. While most available force-based models are calibrated on observed human movement data, validation for investigating characteristics, e.g. variance in parameter values, is still sparse. We present a novel methodology validating based which investigates reproducibility behavior individual trajectory level with real-world data. Our approach estimates values and their distribution non-linear regression where...
Several models for simulation of pedestrian movement have been proposed in recent decades. These are primarily used the planning and evaluation large infrastructures, such as transportation hubs, with a focus to increase comfort safety pedestrians. Although number is increasing at fast pace, not much known about properties calibration procedures or transferability estimated one setting other settings. This paper compares three methods slightly adapted social force model. The main emphasis...
Multi-agent models for simulating the mobility behavior of urban population are gaining momentum due to increasing computing power. Such pose high demands in terms input data order be reliably able match real world behavior. To run a synthetic mirroring typical demand needs generated based on observations. Traditionally this is done using travel diary surveys, which costly (and hence have relatively low sample size) and focus mainly trip choice rather than activities an entire day. Thus...
MATSim is an open-source simulation framework for mesoscopic traffic simulations that has gained popularity in recent years. In this paper, we present a model the city of Vienna, with particular emphasis on intermodal routing used to create agent trips, and development utility function specify different agents’ mode preferences. To activity chains, use mobility diaries from national transportation survey Austria disaggregate available geospatial information best fit reported travel times....
Abstract The “MyFairShare” project develops fair CO 2 mobility budgets for individuals. Here, “fairness” mainly depends on the people’s location as everyone should be able to access all destinations necessary perform everyday tasks. Therefore, a basic understanding about accessibility of facilities visit within an area is needed, regarding activities that must performed. Given this, amount emitted computed, assuming use sustainable modes while reasonable ranges, i.e. travel time 15 min. In...
Progress in digitalization opens opportunities to capture accurate transportation logistics data and provide advanced decision support, which leads into the question of how efficiently exploit this progress order improve solution quality services. Here we address issue context a dynamic stochastic patient problem, where besides considering new events, also incorporate information about future events. We propose different anticipatory algorithms investigate algorithm performs best according...
Abstract In this paper we first show that the gains achievable by integrating pricing and inventory control are usually small for classical demand functions. We then introduce reference price models demonstrate class of functions benefits integration with substantially increased due to dynamics. also provide some analytical results more complex model. thus conclude integrated pricing/inventory could repeat success revenue management in practice if effects included model properties new better...
One of the few possibilities to increase capacity train lines is make boarding and alighting more efficient. So far expensive experiments were needed evaluate effect proposed changes setup. This paper shows that a simulation model based on social force paradigm calibrated measured data promises in future simulations could be used test new scenarios cheap fast way.
Shared spaces are being implemented in many countries to deal with safety concerns and traffic flow problems on busy urban streets street crossings. However, shared space concepts could not be tested before they were built because of the lack a functioning microscopic simulation. Lane-based car-following models, currently used simulation, cannot reproduce high heterogeneity mixed mode's nonchannelized flow. This paper's novel approach introduces an extended social force model for vehicles...
A reluctance to switch electric vehicles is observed in various countries despite national efforts promote them. The question of whether cars are capable meeting daily mobility requirements Germany investigated. analysis based on data from the German Mobility Panel Survey 1995 2010 and travel survey 2009 for Stuttgart, Germany, area combines a long-term behavior with region-specific verification. focus individuals who exclusively drive car walk during day rely as primary means transport. For...
In times of increasing travel demand, urban transport systems are under continuous stress. Knowledge the impact weather on any given day needs to be obtained for efficient operation system. Although it is expected that weather-related impacts will not dominate demand (e.g., work trips cannot easily omitted), may delayed or different modes chosen. It well known operate close capacity react highly nonlinearly additional demand. Thus, changes in might lead totally settings management systems....
Abstract When introducing new mobility offers or measures to influence traffic, stated preference (SP) surveys are often used assess their impact. In SP surveys, respondents do not answer questions about actual behaviour, but hypothetical settings. Therefore, answers biased. To minimise this bias, so-called preference-off-revealed (SP-off-RP) were developed. They base on respondents’ revealed behaviour and place unknown scenarios in a familiar context. Until now, method was applied mostly...