Markus Lienkamp
Biographic Data
| ID | 8887342 |
|---|---|
| NAME | Markus Lienkamp |
| GIVEN NAMES | Markus |
| FAMILY NAME | Lienkamp |
| SIGNATURE | LIENKAMP M |
| AFFILIATIONS | Technical University of Munich |
| ORCID | 0000-0002-9263-5323 |
| VERIFIED | Yes |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 5 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Design and evaluation of a closed-group, electric residential car-sharing system - Findings from a case study in Munich, Germany
Private car ownership is responsible for high greenhouse gas emissions and has a high space requirement. In theory, car-sharing is the cleaner alternative. However, despite decades of car-sharing availability in Germany, adoption remains low, primarily due to a lack of perceived convenience and the uncertainty of vehicle availability. This study presents a novel, further developed car-sharing approach that could solve these issues. The tested app…
Exploring mobility characteristics in rural Sub-Saharan Africa
Access to transportation is a key enabler of economic and sustainable development in rural emerging economies. Implementing effective improvements requires a deep understanding of the current mobility landscape. Despite its significance, recent research on transportation and mobility characteristics in rural Sub-Saharan Africa remains limited. This study addresses this gap by analyzing mobility patterns and motivations in central Côte d’Ivoire, b…
Privacy Preserving Human Mobility Generation Using Grid-Based Data and Graph Autoencoders
This paper proposes a one-to-one trajectory synthetization method with stable long-term individual mobility behavior based on a generalizable area embedding. Previous methods concentrate on producing highly detailed data on short-term and restricted areas for, e.g., autonomous driving scenarios. Another possibility consists of city-wide and beyond scales that can be used to predict general traffic flows. The now-presented approach takes the track…
Autonomous Driving Ethics
In 2017, the German ethics commission for automated and connected driving released 20 ethical guidelines for autonomous vehicles. It is now up to the research and industrial sectors to enhance the development of autonomous vehicles based on such guidelines. In the current state of the art, we find studies on how ethical theories can be integrated. To the best of the authors’ knowledge, no framework for motion planning has yet been published which…
Technoecological analysis of energy carriers for long‐haul transportation
Long‐haul transportation demand is predicted to increase in the future, resulting in higher carbon dioxide emissions. Different drivetrain technologies, such as hybrid or battery electric vehicles, electrified roads, liquefied natural gas and hydrogen, might offer solutions to this problem. To assess their ecological and economic impact, these concepts were simulated including a weight and cost model to estimate the total cost of ownership. An ev…
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Technoecological analysis of energy carriers for long‐haul transportation
Long‐haul transportation demand is predicted to increase in the future, resulting in higher carbon dioxide emissions. Different drivetrain technologies, such as hybrid or battery electric vehicles, electrified roads, liquefied natural gas and hydrogen, might offer solutions to this problem. To assess their ecological and economic impact, these concepts were simulated including a weight and cost model to estimate the total cost of ownership. An ev…
Autonomous Driving Ethics
In 2017, the German ethics commission for automated and connected driving released 20 ethical guidelines for autonomous vehicles. It is now up to the research and industrial sectors to enhance the development of autonomous vehicles based on such guidelines. In the current state of the art, we find studies on how ethical theories can be integrated. To the best of the authors’ knowledge, no framework for motion planning has yet been published which…
Privacy Preserving Human Mobility Generation Using Grid-Based Data and Graph Autoencoders
This paper proposes a one-to-one trajectory synthetization method with stable long-term individual mobility behavior based on a generalizable area embedding. Previous methods concentrate on producing highly detailed data on short-term and restricted areas for, e.g., autonomous driving scenarios. Another possibility consists of city-wide and beyond scales that can be used to predict general traffic flows. The now-presented approach takes the track…
Design and evaluation of a closed-group, electric residential car-sharing system - Findings from a case study in Munich, Germany
Private car ownership is responsible for high greenhouse gas emissions and has a high space requirement. In theory, car-sharing is the cleaner alternative. However, despite decades of car-sharing availability in Germany, adoption remains low, primarily due to a lack of perceived convenience and the uncertainty of vehicle availability. This study presents a novel, further developed car-sharing approach that could solve these issues. The tested app…
Exploring mobility characteristics in rural Sub-Saharan Africa
Access to transportation is a key enabler of economic and sustainable development in rural emerging economies. Implementing effective improvements requires a deep understanding of the current mobility landscape. Despite its significance, recent research on transportation and mobility characteristics in rural Sub-Saharan Africa remains limited. This study addresses this gap by analyzing mobility patterns and motivations in central Côte d’Ivoire, b…
Computer Science (3 works) · Engineering (2 works) · Aging, Elder Care, and Social Issues (1 works) · Agriculture and Rural Development Research (1 works) · Apartment (1 works) · Artificial Intelligence (1 works) · Artificial neural network (1 works) · Autoencoder (1 works) · Automotive Engineering (1 works) · Battery electric vehicle (1 works)