- Transportation and Mobility Innovations
- Transportation Planning and Optimization
- Sharing Economy and Platforms
- Traffic control and management
- Urban and Freight Transport Logistics
- Smart Parking Systems Research
- Electric Vehicles and Infrastructure
- Urban Transport and Accessibility
- Smart Grid Energy Management
- Vehicle Routing Optimization Methods
- Digital Innovation in Industries
- Traffic Prediction and Management Techniques
- Air Traffic Management and Optimization
- Aviation Industry Analysis and Trends
- Human Mobility and Location-Based Analysis
Technical University of Munich
2020-2024
Universität der Bundeswehr München
2017-2020
When considering autonomous mobility on demand (AMoD) trends, it is probably safe to assume that they will have a large market share in the near future. In introductory phases, users of current non-autonomous services such as ride-hailing and carsharing are expected be among first AMoD systems. The research presented this paper aims estimate fares for an system early stages based rental financial data provided by free-floating CS provider. It demonstrates taxi (aTaxi) model requires less...
Autonomous on-demand mobility systems, especially ride-pooling services, except for providing convenient transportation the people, could potentially improve traffic congestion in urban environments by reducing number of private vehicles. In this paper, we introduce an On-Demand Ride-Pooling (AODRP) system, which uses a rather realistic customer-model that is sensitive to waiting times. To quantify benefits AODRP system have on city network, case study Munich performed with shared fleet...
Studies about autonomous taxis (aTaxis) concluded that empty vehicle movements account for a share of 10% miles traveled. In many these studies, constant (in time or space) travel times are used due to lack data and simplify the computations. Furthermore, influence on street network has not yet been focal point research. To address two issues, operation an aTaxi system is implemented into existing traffic microsimulation model. On one hand, depicts more accurately than link-level values....
Simulation frameworks for autonomous mobility-on-demand (AMoD) systems are currently implemented as round-based games, where the real-world simulation time effectively stops until fleet operator and users finish their decision-making processes. As such, these decisions, which take to complete in real-world, unrealistically treated instantaneous simulation.This work presents a real-time gaming framework AMoD simulations that creates asynchronous processes compute decisions delayed mode choice...
This study aims to evaluate and quantify the impact of demand forecast spatial resolution on operational performance a shared-use automated vehicle (AV) mobility service (SAMS) fleet. To perform evaluation, this employs an agent-based modeling framework that includes user requests, AVs, SAMS fleet controller. In simulation, controller dynamically assigns AVs on-demand requests repositions empty throughout region serve expected future requests. The uses offline model online optimization...
On-demand ride-pooling (ODRP) services have the potential to improve traffic conditions in cities and at same time offer user-centric mobility services. Recently, an analytical model, which investigates influence of service quality parameters, such as detour, maximum waiting time, boarding on fraction trips could potentially be shared (a quantity called shareability), has been presented. The aim this study is test model with a simulation framework that models ODRP different levels detail....
With ongoing developments in digitalization and advances the field of autonomous driving, on-demand ride pooling is a mobility service with potential to disrupt urban market. Nevertheless, apply this kind successfully efficient algorithms have be implemented for effective fleet management exploit benefits associated service. Especially real time computation finding beneficial assignments problem not solved large sizes until today. In study, we show importance using advanced by comparing...
This paper presents the coupling of a state-of-the-art ride-pooling fleet simulation package with mobiTopp travel demand modeling framework. The both models enables detailed agent- and activity-based model, in which travelers have option to use based on real-time offers an optimized operation. On one hand, this approach allows application mode-choice agent-level attributes coming from functionalities. other existing optimization can be applied utilize full potential ride-pooling. introduced...
The market share of mobility on-demand (MoD) services strongly increased in recent years and is expected to rise even higher once vehicle automation fully available. These might reduce space consumption cities as fewer parking spaces are required if private trips replaced. If rides shared additionally, occupancy related traffic efficiency increased. Simulations help identify the actual impact MoD on a system, evaluate new control algorithms for improved service develop guidelines regulatory...
This study examines the route design of a semi-on-demand hybrid directional service in public transit network, offering on-demand flexible low-density areas and fixed higher-density with Shared Autonomous Mobility Service (SAMS). The develops analytically tractable cost expressions that capture access, waiting, riding costs for users, distance-based operating time-based vehicle operators. Two formulations are presented strategic tactical decisions portion, fleet size, headway, size...
Ride sharing offers great potential to decrease the number of vehicles in street and improve traffic congestion, if customers are willing share a ride accept certain deviation from their direct travel route. The demand for will probably increase with higher user convenience. However, constraints on detour time, waiting time or even amount board disembark vehicle, chances find shared trips. This paper investigates this trade off by analyzing impacts service quality factors trips which could...
The growing popularity of mobility-on-demand fleets increases the importance to understand impact on transportation networks and how regulate them. For this purpose, network simulations are required contain corresponding routing methods. We study trade-off between computational efficiency accuracy different approaches in a dynamic simulation with endogenous edge travel times: computationally cheap but less accurate Network Fundamental Diagram (NFD) based method more typical Dynamic Traffic...
Job opportunities affect the attractiveness of cities significantly. Since finding a place to live near workplace is difficult in lot cases, many people have commute by car or public transport. Especially commutes private vehicle cause congestion, emissions and parking pressure. This work aims design shuttle service for employees large company living areas with bad transportation connections workplace. In order compliment transport, only operates these offers new alternative commuting...
On-Demand Mobility is an increasingly popular concept especially in urban areas, which has the potential to reduce congestion and space needed by privately owned vehicles due shared car fleets. To avoid a decline of flexibility convenience for customers minimize costs service provider, fleet management algorithm matches requests order quickly find reliable time efficient solution whole system. The focus this work introduce new approach solutions periodically using Tabu Search metaheuristic,...
Ride hailing (RH) services have become a common mode of transportation in the last decade. Usually, statistical tools are used to improve their performance, whereby typically divide whole operational area into multiple regions. These usually assume that regions independent each other even though vehicles from one region can be serve neighboring regions, thereby method is required consistently relates vehicle demand and supply between geographically or operating area. This hinders tapping...
Ride sharing services have the potential to improve traffic situation in urban areas. However, a successful implementation of such service depends on customers' willingness share their trip with somebody else, which among other factors quality factors. A ride is more attractive customers when it associated short detour and waiting time. Hence, from an operator perspective these constrain chances find shareable trips. reservation-based system might be beneficial increase chances. The aim this...
In den letzten Jahrzehnten entwickelten sich verschiedene Carsharing-Modelle ausgehend vom stationsbasierten System, das nur Rundfahrten zuließ, bis hin zu free-floating Systemen mit flexibler Fahrzeugrückgabe innerhalb eines Geschäftsgebiets. Für Betreiber ist eine raumzeitliche Analyse der Nachfrage unabdinglich, um die Fahrzeugverfügbarkeit durch Reallokationen bestmöglich anzugleichen. diesem Artikel werden Carsharing-Systeme, aktuelle Entwicklungen, Nutzer- und Nachfrageanalysen sowie...
With advances in digitization and automation, autonomous mobility on demand services have the potential to disrupt future system landscape. Ridepooling particular can both decrease land consumption by reducing need for parking increase transportation efficiency increasing average vehicle occupancy. Nevertheless, because ridepooling require a sufficient user base pooling take effect, their performance suffer if multiple operators offer such service must split demand. This study presents...
Electrification of vehicles as well mobility-on-demand (MoD) services are two important trends these years. Hence, the supply charging infrastructure (CI) becomes a necessity to ensure smooth transition. While private vehicle owners expect high availability possibilities, utilization CI often suffers. Including processes MoD could benefit operator operator: Charging can be planned centrally thereby increasing public while operators do not have invest in their own CI. We study effects an...