Lars Briem

• Master of Science
• Research Assistant at Karlsruhe Institute of Technology

Im öffentlichen Nahverkehr treten täglich Störungen auf. Die Bereitstellung eines zuverlässigen Systems ist daher eine Herausforderung für Betrieb und Planung. Dieser Artikel gibt Einblicke in die Dynamiken und die Prozesse von Betriebsleitstellen im ÖPNV, um Potenziale zur weiteren Verbesserung der Zuverlässigkeit aufzuzeigen. Dazu wurden Führungs...

E-commerce demand has increased steadily over the last decades and this trend has accelerated even more since the start of the Covid-19 pandemic. This entailed that user groups such as older people who previously only shopped in-store were incited to shop online to reduce risk of infection leading some to switch to online shopping as the main shopp...

Disruptions in public transport operations occur every day. Thus, providing a reliable system is a challenge for operations and planning. This paper gives insights into the dynamics and processes of operations control centers in public transport to reveal potentials for further improvement in reliability. Therefore, directors were interviewed, disp...

Worldwide travel and tourism are becoming increasingly important, and travelers have hence an increasing influence on traffic volume in cities. Therefore, it is important to incorporate them in future transport planning activities and to consider them in travel demand modeling. Until now, there has been no suitable model that differentiates between...

Worldwide travel and tourism are becoming increasingly important, and travelers have hence an increasing influence on traffic volume in cities. Therefore, it is important to incorporate them in future transport planning activities and to consider them in travel demand modeling. Until now, there has been no suitable model that differentiates between...

The rapid growth of the e-commerce market leads us to expect a further increase in delivery vehicles in urban areas as well. This growth is expected to be accompanied by an increase in emissions while space becomes scarce. Meanwhile, people are adjusting their travel behaviour; therefore, the growing e-commerce market affects both last-mile deliver...

Purpose Ridesourcing services have become popular recently and play a crucial role in Mobility as a Service (MaaS) offers. With their increasing importance, the need arises to integrate them into travel demand models to investigate transport system-related effects. As strong interdependencies between different people’s choices exist, microscopic an...

With the increased shift from in-store shopping to e-commerce, we can expect the share of delivery vehicles in cities to rise as well. This puts great pressure on cities and surrounding areas as emissions rise and space becomes scarce. Because the last leg of the delivery chain is so costly, there have been many studies on how the last-mile issue c...

With the expected increase of e-commerce activity, we can expect the share of delivery vehicles in cities to rise as well. On the one hand, this puts great pressure on cities and surrounding areas as emissions rise and space becomes scarce. On the other hand, people are adjusting their travel behaviour such that the increase in e-commerce affects n...

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...

We present a methodology to extract points of interest (POIs) data from OpenStreetMap (OSM) for application in travel demand models. We use custom taglists to identify and assign POI elements to typical activities used in travel demand models. We then compare the extracted OSM data with official sources and point out that the OSM data quality depen...

The topic of intermodal passenger mobility has become more important during the last 20 years. As mobility options increase in number and flexibility, it gets more and more attractive to combine multiple modes on single trips. In addition, intermodal travel behavior is expected to contribute to less car dependent mobility and transport sector’s red...

Transport systems are affected by fundamental technical and social dynamics. For planners and researchers, travel demand models are an important tool to gain insights into possible effects of these dynamics and to find appropriate ways of dealing with them. However, most state-of-the-art travel demand models underestimate social aspects of travel c...

Ridesourcing differentiated in ride-pooling and ride-hailing have become popular recently. With the rising importance of these services, the need arises to integrate them into travel demand models to examine effects on e.g. modal split. As they present strong interdependencies between the choices of different people, agent-based model approaches ar...

In the past years, the travel demand model mobiTopp has undergone substantial developments towards a full agent-based travel demand model. Until now, mobiTopp covers the generation of a synthetic population with synthetically generated activity plans, different models for ownership of cars or transit passes, destination choice models for long- and...

Microscopic destination choice models allow for a choice of individual destinations instead of travel analysis zones (TAZ). Consequently, for such a case, information about each individual destination on a more detailed spatial level is needed. This information can be gathered manually or, if available, through the classical approach from public au...

Demand and supply are both relevant for travel time in public transport. While it is obvious that the supply side in form of the timetable corresponds directly to the travel time, the demand side influences the travel time only partially, but in critical moments. During peak hours, when the demand reaches the capacity of the vehicles, the interacti...

Demand and supply are both relevant for travel time in public transport. While it is obvious that the supply side in form of the timetable corresponds directly to the travel time, the demand side influences the travel time only partially, but in critical moments. During peak hours, when the demand reaches the capacity of the vehicles, the interacti...

The market diffusion of plug-in electric vehicles (PEVs) depends, besides many other factors, on how suitable these cars are for people's every day travel behavior. We combine the outcome of two model-based approaches to derive how people's travel behavior might change if they use PEVs. The first model ALADIN determines the PEV owners, who are inte...

We study the problem of computing traffic assignments for public transit networks: Given a public transit network and a demand (i.e. a list of passengers, each with associated origin, destination, and departure time), the objective is to compute the utilization of every vehicle. Efficient assignment algorithms are a core component of many urban tra...

In order to make human computer interaction more social, the use of supporting backchannel cues can be beneficial. Such cues can be delivered in different channels like vision, speech or gestures. In this work, we focus on the prediction of acoustic backchannels in terms of speech. Previously, this prediction has been accomplished by using rulebase...