
Andreas NeumannTechnische Universität Berlin | TUB · Department of Land and Sea Transport Systems
Andreas Neumann
Dr.-Ing.
About
25
Publications
8,538
Reads
How we measure 'reads'
A 'read' is counted each time someone views a publication summary (such as the title, abstract, and list of authors), clicks on a figure, or views or downloads the full-text. Learn more
505
Citations
Publications
Publications (25)
The optimal setting of public transport pricing and supply levels has been
traditionally analysed with analytical models that combine the objectives of users, service
providers and decision makers in optimisation problems. In this paper, public transport fare
and headway are jointly optimised using an activity-based simulation framework. Unlike
tra...
In this paper, marginal cost-pricing rules are applied to an agent-based model. User-specific optimal bus fares are estimated by simulating user interactions at a microscopic level. We consider external effects of prolonged in-vehicle and waiting times (including the effect of full buses on boarding denials) induced by passengers boarding vehicles....
Full text link: http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:83-opus4-53866
The success of a public transport system highly depends on its network design. When transport companies try to optimize a line with respect to running costs there is also the demand to be taken into consideration. The best cost structure will not be sustainable i...
We use human mobility models, for which we are experts, and attach a virus infection dynamics to it, for which we are not experts but have taken it from the literature, including recent publications. This results in a virus spreading dynamics model. The results should be verified, but because of the current time pressure, we publish them in their c...
Epidemiological simulations as a method are used to better understand and predict the spreading of infectious diseases, for example of COVID-19. This paper presents an approach that combines a well-established approach from transportation modelling that uses person-centric data-driven human mobility modelling with a mechanistic infection model and...
Epidemiological simulations as a method are used to better understand and predict the spreading of infectious diseases, for example of COVID-19.
This paper presents an approach that combines a well-established approach from transportation modelling that uses person-centric data-driven human mobility modelling with a mechanistic infection model and...
Epidemiological simulations as a method are used to better understand and predict the spreading of infectious diseases, for example of COVID-19. This paper presents an approach that combines person-centric data-driven human mobility modelling with a mechanistic infection model and a person-centric disease progression model. The model includes the c...
Epidemiological simulations as a method are used to better understand and predict the spreading of infectious diseases, for example of COVID-19.
This paper presents an approach that combines person-centric data-driven human mobility modelling with a mechanistic infection model and a person-centric disease progression model.
Results show that in Ber...
Epidemiological simulations as a method are used to better understand and predict the spreading of infectious diseases, for example of COVID-19. This paper presents an approach that combines person-centric data-driven human mobility modelling with a mechanistic infection model and a person-centric disease progression model. Results show that in Ber...
In most studies mathematical models are developed finding the expected waiting time to be a function of the headway. These models have in common that the proportion of passengers that arrive randomly at a public transport stop is less as headway in- creases. Since there are several factors of influence, such as social demographic or regional aspect...
This paper investigates the closure of TXL airport and its impact on the bus network of Berlin. The results of the scenario are based on a co-evolutionary algorithm for public transit network design. The algorithm is integrated in a multi-modal multi-agent simulation. In the simulation, competing minibus operators start exploring the public transpo...
After private cars, minibus taxis are the most common transport mode in South Africa. Especially for low-income citizens living in townships, minibus services are often the only possibility for mobility. Despite the great importance of the mode, there is very little knowledge of routes, fares, and the number of minibuses. Hence, it is difficult to...
This paper aims at an agent-based simulation of the interplay between two types of agents within a transport system: travelers, and traffic signals. For the simulation of this interplay, a computationally efficient traffic model is needed. It is thus shown how queue models can be used to model traffic flow and spill-back at signalized intersections...
Preprint at https://www.vsp.tu-berlin.de/menue/forschung/publications/vspwp/
Public transport companies should run sustainable transit lines and demand oriented services. This paper presents an enhanced evolutionary model, presented earlier, for the design of demand responsive routes and transport networks. The approach adopts the survival of the fittest principle from competitive developing world paratransit systems with r...
Preprint at https://www.vsp.tu-berlin.de/menue/forschung/publications/vspwp/
Preprint at https://www.vsp.tu-berlin.de/menue/forschung/publications/vspwp/