Florian Dandl

Technical University of Munich | TUM · Chair of Traffic Engineering and Control

This study investigates the implementation of semi-on-demand (SoD) hybrid-route services using Shared Autonomous Vehicles (SAVs) on existing transit lines. SoD services combine the cost efficiency of fixed-route buses with the flexibility of on-demand services. SAVs first serve all scheduled fixed-route stops, then drop off and pick up passengers i...

This study examines the route design of a semi-on-demand hybrid route directional service in the public transit network, offering on-demand flexible route service in low-density areas and fixed route service in higher-density areas with Shared Autonomous Mobility Service (SAMS). The study develops analytically tractable cost expressions that captur...

This study examines the route design of a semi-on-demand hybrid route directional service in the public transit network, offering on-demand flexible route service in low-density areas and fixed route service in higher-density areas with Shared Autonomous Mobility Service (SAMS). The study develops analytically tractable cost expressions that captur...

Mobility-on-Demand (MoD) services have been an active research topic in recent years. Many studies focused on developing control algorithms to supply efficient services. To cope with a large search space to solve the underlying vehicle routing problem, studies usually apply hard time-constraints on pick-up and drop-off while considering static netw...

This paper examines the integration of freight delivery into the passenger transport of an on-demand ride-pooling service. The goal of this research is to use existing passenger trips for logistics services and thus reduce additional vehicle kilometers for freight delivery and the total number of vehicles on the road network. This is achieved by me...

Incidents disrupt the public transportation (PT) operation daily causing parts of the PT system to be temporarily out of service. The dispatchers in the operations control center (OCC) take multiple dispositive measures to resolve the incident and to mitigate its negative effects on the PT services. Usually, such measures are supply-centric readjus...

Incidents disrupt the public transportation (PT) operation daily causing parts of the PT system to be temporarily out of services. The dispatchers in the operations control center (OCC) take multiple dispositive measures to resolve the incident and to mitigate its negative effects on the PT services. Usually, such measures are supply-centric readju...

If private vehicle trips can be replaced, ride-pooling services can decrease parking space needed by higher vehicle utilization and increase traffic efficiency by increasing vehicle occupancy. Nevertheless, substantial benefits can only be achieved if a certain market penetration is passed to find enough shareable rides for pooling to take place. A...

Electrification of vehicles as well as mobility-on-demand (MoD) services are two important trends these years. Hence, the supply of charging infrastructure (CI) becomes a necessity to ensure a smooth transition. While private vehicle owners expect a high availability of charging possibilities, the utilization of CI often suffers. Including charging...

The market share of mobility on-demand (MoD) services strongly increased in recent years and is expected to rise even higher once vehicle automation is fully available. These services might reduce space consumption in cities as fewer parking spaces are required if private vehicle trips are replaced. If rides are shared additionally, occupancy relat...

With advances in digitization and automation, autonomous mobility on demand services have the potential to disrupt the future mobility system landscape. Ridepooling services in particular can both decrease land consumption by reducing the need for parking and increase transportation efficiency by increasing the average vehicle occupancy. Neverthele...

This paper examines the integration of freight delivery into the passenger transport of an on-demand ride-pooling service. The goal of this research is to use existing passenger trips for logistics services and thus reduce additional vehicle kilometers for freight delivery and the total number of vehicles on the road network. This is achieved by me...

Autonomous mobility on demand services have the potential to disrupt the future mobility system landscape. Ridepooling services in particular can decrease land consumption and increase transportation efficiency by increasing the average vehicle occupancy. Nevertheless, because ridepooling services require a sufficient user base for pooling to take...

On-demand ride-pooling systems have gained a lot of attraction in the past years as they promise to reduce traffic and vehicle fleets compared to private vehicles. Transport simulations show that automation of vehicles and resulting fare reductions enable large-scale ride-pooling systems to have a high potential to drastically change urban transpor...

The ridepooling provider MOIA in Hamburg, Germany, currently operates the largest contiguous fleet in Europe. This study is part of the accompanying research to quantify current and future effects of the ridepooling service within the transportation system of Hamburg. With access to data of a large user survey and real operational data, a simulatio...

The last decade saw the emergence of ride-hailing (RH) services provided by private sector mobility service providers (MSPs). The RH operations usually accumulate customers into batches using fixed time period before assigning vehicles with optimal immediate profit. In the long run, this results in some regions having vehicles oversupply while othe...

Mobility-on-demand (MoD) systems, especially ride-hailing systems, have seen tremendous growth in recent years. These systems provide user-centric mobility services, whose users expect a high level of convenience. Waiting for a response after an app request and eventually learning after a long period of time that no vehicle is available is hardly a...

The MobilityCoin is a new, all-encompassing currency for the management of the multimodal urban transportation system. MobilityCoins includes and replaces various existing transport policy instruments while also incentivizing a shift to more sustainable modes as well as empowering the public to vote for infrastructure measures.

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 the tools typically divide the whole operational area into multiple regions. These tools usually assume that the regions are independent of each other even though vehicles from one regi...

This paper presents a two-step information system for operating an on-demand mobility (ODM) service using the advantages of both immediate responses based on heuristics and global (re)optimization of car–passenger assignments. Service providers using such a model can offer a better user experience due to shorter response times, while they also bene...

Mobility-on-demand (MoD) systems, especially ride-hailing systems, have seen tremendous growth in recent years. These systems provide user-centric mobility services, whose users expect a high level of convenience. Waiting for a response after an app request and eventually learning after a long period of time that no vehicle is available is hardly a...

The goal of this paper is to develop a modeling framework that captures the inter-decision dynamics between mobility service providers (MSPs) and travelers that can be used to optimize and analyze policies/regulations related to MSPs. To meet this goal, the paper proposes a tri-level mathematical programming model with a public-sector decision make...

This paper presents the coupling of a state-of-the-art ride-pooling fleet simulation package with the mobiTopp travel demand modeling framework. The coupling of both models enables a detailed agent- and activity-based demand model, in which travelers have the option to use ride-pooling based on real-time offers of an optimized ride-pooling operatio...

The goal of this paper is to develop a modeling framework that captures the inter-decision dynamics between mobility service providers (MSPs) and travelers that can be used to optimize and analyze policies/regulations related to MSPs. To meet this goal, the paper proposes a tri-level mathematical programming model with a public-sector decision make...

With ongoing developments in digitalization and advances in the field of autonomous driving, on-demand ride pooling is a mobility service with the potential to disrupt the urban mobility market. Nevertheless, to apply this kind of service successfully efficient algorithms have to be implemented for effective fleet management to exploit the benefits...

The growing popularity of mobility-on-demand fleets increases the importance to understand the impact of mobility-on-demand fleets on transportation networks and how to regulate them. For this purpose, transportation network simulations are required to contain corresponding routing methods. We study the trade-off between computational efficiency an...

The growing popularity of mobility-on-demand fleets increases the importance to understand the impact of mobility-on-demand fleets on transportation networks and how to regulate them. For this purpose, transportation network simulations are required to contain corresponding routing methods. We study the trade-off between computational efficiency an...

div>Electrifying mobility-on-demand (MoD) fleets is an important step towards a more sustainable transportation system. With increasing fleet size, MoD operators will be able to participate in the energy exchange market and will have access to time-varying electricity prices. They can benefit from intelligent scheduling of charging processes co...

div>Electrifying mobility-on-demand (MoD) fleets is an important step towards a more sustainable transportation system. With increasing fleet size, MoD operators will be able to participate in the energy exchange market and will have access to time-varying electricity prices. They can benefit from intelligent scheduling of charging processes co...

On-demand ride-pooling (ODRP) services have the potential to improve traffic conditions in cities and at the same time offer user-centric mobility services. Recently, an analytical model, which investigates the influence of service quality parameters, such as detour, maximum waiting time, and boarding time, on the fraction of trips which could pote...

This paper presents a model to predict the market penetration of autonomous cars for passenger transportation, focussing on autonomous taxis without a steering wheel. For this, a discrete system dynamics model was created and evaluated where the input parameters have been taken from the literature and a survey. In this survey, user demands were inv...

Dynamic Car-Passenger Matching is a variant of the Dial-a-Ride Problem (DaRP) and a crucial part of operating an On-Demand Mobility (ODM) service. The ODM fleet management algorithm has to be able to find close-to-optimal solutions quick and reliable in order to provide a high quality service to the users of the service. In this work, an approach i...

Carsharing operators could benefit from vehicle automation even before full vehicle automation is available city-wide: so-called Park- & Charge Lanes (PCL) installed in closed environments can increase customer convenience and reduce costs for parking space and charging operations. The concept introduced in this study comprises the stacking of vehi...

Fleet operators rely on forecasts of future user requests to reposition empty vehicles and efficiently operate their vehicle fleets. In the context of an on-demand shared-use autonomous vehicle (AV) mobility service (SAMS), this study analyzes the trade-off that arises when selecting a spatio-temporal demand forecast aggregation level to support th...

This study aims to evaluate and quantify the impact of demand forecast spatial resolution on the operational performance of a shared-use automated vehicle (AV) mobility service (SAMS) fleet. To perform the evaluation, this study employs an agent-based modeling framework that includes user requests, AVs, and an SAMS fleet controller. In the simulati...

Ride sharing services have the potential to improve the traffic situation in urban areas. However, a successful implementation of such a service depends on the customers’ willingness to share their trip with somebody else, which among other factors depends on service quality factors. A ride sharing service is more attractive to the customers when i...

Autonomous on-demand mobility systems, especially ride-pooling services, except for providing convenient transportation for the people, could potentially improve the traffic congestion in urban environments by reducing the number of private vehicles. In this paper, we introduce an Autonomous On-Demand Ride-Pooling (AODRP) system, which uses a rathe...

Ride sharing demand will potentially increase with higher user convenience, however constraints on service quality parameters, such as detour time, waiting time of the customer or the time to board or disembark the vehicle, decrease the portion of trips that can be shared, a quantity called shareability. This study investigates this trade-off for v...

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 the fleet operator and users finish their decision-making processes. As such, these decisions, which take time to complete in the real-world, are unrealistically treated...

Ride sharing offers great potential to decrease the number of vehicles in the street and improve traffic congestion, if the customers are willing to share a ride and accept a certain deviation from their direct travel route. The demand for ride sharing will probably increase with higher user convenience. However, constraints on detour time, waiting...

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 durc...

On-Demand Mobility is an increasingly popular concept especially in urban areas, which has the potential to reduce congestion and the space needed by privately owned vehicles due to shared car fleets. To avoid a decline of flexibility and convenience for the customers and to minimize the costs for the service provider, a fleet management algorithm...

Job opportunities affect the attractiveness of cities significantly. Since finding a place to live near the workplace is difficult in a lot of cases, many people have to commute by car or public transport. Especially commutes by private vehicle cause congestion, emissions and parking pressure. This work aims to design a shuttle service for employee...

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 the introductory phases, users of current non-autonomous mobility on demand services such as ride-hailing and carsharing are expected to be among the first users of AMoD systems. The research pr...

With the introduction of autonomous vehicles, ride-hailing, taxi, and carsharing might all become on-demand door-to-door mobility services. We assume that the carsharing mode will develop into a system with more flexibility for users while ride-hailing and taxi will focus on the efficiency of the system. The flexibility of the autonomous carsharing...

Studies about autonomous taxis (aTaxis) concluded that empty vehicle movements account for a share of about 10% of the total fleet mileage. In most of these studies, static traffic representations are used, neglecting the effect of the aTaxis on the flows and velocities in the network. Moreover, these static representations do not consider traffic...

Studies about autonomous taxis (aTaxis) concluded that empty vehicle movements account for a share of about 10% of vehicle miles traveled. In many of these studies, constant (in time or space) travel times are used due to a lack of data and to simplify the computations. Furthermore, the influence of the empty vehicle movements on the street network...

In bisherigen Simulationsstudien von autonomen Robotertaxis wurde herausgefunden, dass Leerfahrten einen erheblichen Anteil von ungefähr 10% an der gesamten, während eines Tages von der Flotte zurückgelegten Strecke ausmachen werden. Meist wurden bei diesen Studien zeitlich konstante Reisezeiten angenommen. Außerdem wurden die verkehrlichen Auswirk...