2020
Ocker, Florian J.
Entwicklung eines agentenbasierten multimodalen Verkehrsmodells mit MARS Abschlussarbeit
Hochschule für Angewandte Wissenschaften Hamburg, 2020.
Abstract | Links | BibTeX | Tags: MARS, Multi-Agent Model, Multimodality, Traffic Simulation
@mastersthesis{Ocker2020,
title = {Entwicklung eines agentenbasierten multimodalen Verkehrsmodells mit MARS},
author = {Florian J. Ocker},
url = {http://localhost/wp-content/uploads/2021/09/ocker-ma-thesis.pdf},
year = {2020},
date = {2020-06-18},
school = {Hochschule für Angewandte Wissenschaften Hamburg},
abstract = {This thesis describes the development of a multimodal traffic model for the MARS system. The proposed model should provide a demand-based choice of different means of transport, the modal types. Therefore the time advantage of different vehicles is compared with each other and with the walking modality. Moreover, the travel time is analysed for a transport needs model in respect to the availabilty and free choice of different modal types.},
keywords = {MARS, Multi-Agent Model, Multimodality, Traffic Simulation},
pubstate = {published},
tppubtype = {mastersthesis}
}
This thesis describes the development of a multimodal traffic model for the MARS system. The proposed model should provide a demand-based choice of different means of transport, the modal types. Therefore the time advantage of different vehicles is compared with each other and with the walking modality. Moreover, the travel time is analysed for a transport needs model in respect to the availabilty and free choice of different modal types.
2019
Löffler, Andreas
Smart Rescue im urbanen Raum: Ein agentenbasiertes Modell mit MARS zur Bestimmung der Helferanzahl innerhalb Hamburgs Abschlussarbeit
Hochschule für Angewandte Wissenschaften Hamburg, 2019.
Abstract | Links | BibTeX | Tags: count of helping volunteers, cover rate, coverage, micro simulation, pedestrian simulation, Smart Rescue
@mastersthesis{Löffler2019,
title = {Smart Rescue im urbanen Raum: Ein agentenbasiertes Modell mit MARS zur Bestimmung der Helferanzahl innerhalb Hamburgs},
author = {Andreas Löffler},
url = {https://reposit.haw-hamburg.de/handle/20.500.12738/9142},
year = {2019},
date = {2019-06-19},
school = {Hochschule für Angewandte Wissenschaften Hamburg},
abstract = {The topic of the thesis deals with the concept Smart Rescue by simulation. A pedestrian model will be developed, which allows the investigation of the Smart Rescue approach in a sub-area of an urban space. Based on the simulation, a number of helpers to cover 95% of the generated missions is determined empirically. The pedestrian model includes study-based statistics and demographic data, as well as geospatial data for more realistic representation.},
keywords = {count of helping volunteers, cover rate, coverage, micro simulation, pedestrian simulation, Smart Rescue},
pubstate = {published},
tppubtype = {mastersthesis}
}
The topic of the thesis deals with the concept Smart Rescue by simulation. A pedestrian model will be developed, which allows the investigation of the Smart Rescue approach in a sub-area of an urban space. Based on the simulation, a number of helpers to cover 95% of the generated missions is determined empirically. The pedestrian model includes study-based statistics and demographic data, as well as geospatial data for more realistic representation.
Weyl, Julius
Developing a generic multi-agent car model to simulate road traffic with MARS Abschlussarbeit
Hochschule für Angewandte Wissenschaften Hamburg, 2019.
Abstract | Links | BibTeX | Tags: MARS, Multi-Agent Model, Traffic Simulation
@mastersthesis{Weyl2019,
title = {Developing a generic multi-agent car model to simulate road traffic with MARS},
author = {Julius Weyl},
url = {http://localhost/wp-content/uploads/2021/09/weyl-ma-thesis.pdf},
year = {2019},
date = {2019-06-19},
school = {Hochschule für Angewandte Wissenschaften Hamburg},
abstract = {This thesis describes the development of a generic, agent-based car model for the MARS system. Based on the Intelligent Driver Model a set of agent rules is designed to allow autonomous car agents to drive in two distinct parts of the world. The first scenario is located in Hamburg Altona where the traffic over the course of a day is simulated based on demographic data about the people living there. For the second simulation scenario the model is adapted to the traffic rules of South Africa. The results from the two simulation scenarios are examined to assert whether the model has been build truly generic.},
keywords = {MARS, Multi-Agent Model, Traffic Simulation},
pubstate = {published},
tppubtype = {mastersthesis}
}
This thesis describes the development of a generic, agent-based car model for the MARS system. Based on the Intelligent Driver Model a set of agent rules is designed to allow autonomous car agents to drive in two distinct parts of the world. The first scenario is located in Hamburg Altona where the traffic over the course of a day is simulated based on demographic data about the people living there. For the second simulation scenario the model is adapted to the traffic rules of South Africa. The results from the two simulation scenarios are examined to assert whether the model has been build truly generic.