Klaus Bogenberger

Technische Universität München | TUM · Chair of Traffic Engineering and Control

In this paper, we present a novel efficient multicriteria route model for bicycles. Efficiency is particularly relevant for handling large-scale routing requests, as is essential for centralized routing services and traffic assignment problems. The multicriteria aspect is crucial in the context of bicycles, since their route choice is heavily influ...

An accurate knowledge and prediction of actual freeway traffic conditions is essential for efficient traffic management, safety, and planning. To this end, knowing which traffic state, i.e. free-flow or a specific congestion pattern, is prevailing is the crucial basis for any analysis. This paper presents a bidirectional Long Short-term Neural Netw...

With the advent of connected autonomous vehicles (CAVs) come many possibilities for improving the capacity and level of service of roadways and intersections. Two such concepts are automated intersection management (AIM) and lane-free traffic. Previous research on lane-free AIM approaches is scant and often overlooks vulnerable road users (VRUs) su...

This paper investigates the impact of different automated vehicle (AV) communication concepts on pedestrians' perceived trust when interacting with the AV in an urban intersection setting. For this, two virtual reality (VR) studies were conducted. The first examined the influence of vehicle automation on how pedestrians interpret driving behavior,...

We address the contribution of a future Advanced Air Mobility (AAM) service to the accessibility of important facilities and thereby focus on rural areas. For our case study, we choose two different use case orientations: emergency services and leisure activities, represented by hospitals and cinemas, respectively. Both are defined as relevant poin...

Investigating the key stress factors affecting cyclists in the urban area by analyzing self-reported data, physiological responses, cycling behaviors, and traffic conditions

Micromobility users behave all differently depending on their mode of transport. Bicyclists, e-bike riders, cargo bicyclists, e-scooter riders, or other active mobility subjects, who all use the same available bicycle infrastructure, differ in their trajectories, their braking or turning maneuver dynamics, and in their space needed on road infrastr...

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...

In recent years, Paris, France, transformed its transportation infrastructure, marked by a notable reallocation of space away from cars to active modes of transportation. Key initiatives driving this transformation included Plan V\'elo I and II, during which the city created over 1,000 kilometres of new bike paths to encourage cycling. For this, su...

A manuscript summarising our "Mobilität.Leben" study that we conducted from May 2022 to December 2023 to observe the natural travel behavior experiments in Germany of the 9-Euro-Ticket and the Deutschlandticket using a six-wave panel survey and semi-passive travel diaries with waypoint tracking.

The Munich metropolitan area relies heavily on its rail network, the "S-Bahn", a Regional Rail Rapid Transit (RRRT) system, to provide fast rail access to many city districts and suburbs. Yet, the entire system has become unreliable, with many train cancellations and delays in recent years. So far, only aggregated performance statistics without muc...

Rapid urbanization and growing urban populations worldwide present significant challenges for cities, including increased traffic congestion and air pollution. Effective strategies are needed to manage traffic volumes and reduce emissions. In practice, traditional traffic flow simulations are used to test those strategies. However, high computation...

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 paper explores the potential of automated public transportation (PT) systems in urban areas, driven by advancements in vehicle technology such as automation and connectivity. This study addresses the critical role of human bus drivers in ensuring safety, accessibility, and service quality in current PT systems. It examines how their roles can...

This paper presents an open-source simulation framework for evaluating static and dynamic occlusions in urban environments, focusing on the challenges faced by Connected and Automated Vehicles (CAVs). It utilizes SUMO for traffic simulation and Python for ray tracing, enabling detailed analyses of occlusion effects without the need for complex co-s...

Estimating behavioral parameters for mode choice typically relies on revealed or stated preference data. However, applying GPS-based revealed preference (GPS-RP) panel data in modeling mode choice, particularly in response to shocks or policy interventions, is relatively rare and methodologically under-explored. This paper discusses the preparation...

This study investigates cycling behavior in relation to the traffic state of the forward area using multi-modal trajectories from bird's-eye view video data. Cycling is recognized as a sustainable mode of transportation, with cities promoting urban designs to encourage it. However, the rise in cyclist numbers has led to more accidents, especially i...

In this study, the data-driven simulation framework CDRpy is presented, validated and applied using the example of the city of Munich to support decision-makers in the roll-out of public charging infrastructure in urban areas. The innovation of the study lies in the fact that CDRpy can be used to evaluate different concepts for public charging infr...

Accurate traffic models are of decisive importance for well-founded traffic engineering and represent the basic framework for comprehensive simulation studies as modelling of traffic demand. Using traffic count and speed measurements of road segments is a common approach for the calibration of a realistic traffic simulation although the data acquis...

People with physical or mental impairments are often disadvantaged in using mo- bility systems such as public transport. When it comes to automated on-demand shuttle services, the situation might get worse since no driver is aboard who could assist. This paper describes the results of a survey where visually impaired persons and individuals with au...

Currently available trajectory data sets undoubtedly provide valuable insights into traffic events, the behavior of road users and traffic flow theory, thus enabling a wide range of applications. However, there are still shortcomings that need to be addressed: (i) the continuous temporal recording (ii) of a coherent area covering several intersecti...

Deep reinforcement learning has shown promise in various engineering applications, including vehicular traffic control. The non-stationary nature of traffic, especially in the lane-free environment with more degrees of freedom in vehicle behaviors, poses challenges for decision-making since a wrong action might lead to a catastrophic failure. In th...

This paper focuses on the potential of HOT lanes (high-occupancy toll lanes) in Germany. For this, various scenarios were defined and simulated on a synthetic road network that adheres to German guidelines. The results demonstrated that HOT lanes offered travel time advantages for carpoolers and HOT vehicles but led to longer travel times for singl...

MobilityCoins are a tradable mobility credit (TMC) scheme variant. TMC schemes are a cap-and-trade scheme for managing mobility that are designed to limit negative externalities, e.g., congestion, of traffic. Next to having link-specific or origin–destination-specific charges for cars as in the common TMC scheme, the MobilityCoin scheme’s distincti...

Mode choice modeling is imperative for predicting and understanding travel behavior. For this purpose, machine learning (ML) models have increasingly been applied to stated preference and traditional self-recorded revealed preference data with promising results, particularly for extreme gradient boosting (XGBoost) and random forest (RF) models. Bec...

Evaluating traffic safety using simulation is a huge challenge. The proportion of slower-than-average responses is particularly important, as these greatly influence the likelihood of accidents or injuries in dangerous circumstances. Developing accurate models that account for variations in individual response processes is fundamental for reliable...

In transportation planning and management, the integration of sophisticated traffic simulation tools have become indispensable. A pivotal advancement in this domain is the development of a 3D visualization tool, seamlessly merging SUMO's microscopic traffic simulation with Unity's game engine. This tool enhances comprehension and serves as a commun...

This study investigates for the first time how public charging infrastructure usage differs under the presence of diverse pricing models. About 3 million charging events from different European countries were classified according to five different pricing models (cost-free, flat-rate, time-based, energy-based, and mixed) and evaluated using various per...

This study comprehensively explores static and dynamic occlusion issues in urban scenarios, focusing mainly on their interplay with the rising prevalence of connected automated vehicles (CAVs). We propose a unique methodology for pinpointing static and dynamic occlusions and examining the impacts of CAVs that integrate collective perception in thei...

Currently available trajectory data sets undoubtedly provide valuable insights into traffic events, the behaviour of road users and traffic flow theory, thus enabling a wide range of applications. However, there are still shortcomings that need to be addressed: (i) the continuous temporal recording (ii) of a coherent area covering several intersect...

In recent years, transportation network companies (TNCs) have grown rapidly. However, with the high intensity of competition caused by multi-homing and low switching costs, providers like Uber and Lyft have yet to achieve profitability. Following the winner-takes-all theory, providers fight for market dominance with price wars and incentives, expec...

Accurate and comprehensive semantic segmentation of Bird's Eye View (BEV) is essential for ensuring safe and proactive navigation in autonomous driving. Although cooperative perception has exceeded the detection capabilities of single-agent systems, prevalent camera-based algorithms in cooperative perception neglect valuable information derived fro...

As the adoption of battery electric buses (BEBs) in public transportation systems grows, the need for precise energy consumption forecasting becomes increasingly important. Accurate predictions are essential for optimizing routes, charging schedules, and ensuring adequate operational range. This paper introduces an innovative forecasting methodolog...

In spring 2022, the German federal government announced responses to the 2022 cost-of-living crisis. These included among others, a nationwide local public transport ticket for 9 Euro per month. Available only in June, July, and August 2022, it allowed for unlimited travel on all local and regional public transport services in Germany. In transport...

The poster presents the research conducted on the correlation of network changes and travel behaviour in Paris, 2015 - 2023. Read the full paper here: https://www.researchgate.net/publication/373368041_Traffic_Reduction_and_Decarbonization_through_Network_Changes_-_Empirical_Evidence_from_Paris

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...

Urban traffic is highly complex due to the influences of multimodality and partly unpredictable disruptive factors. The real-time determination of waiting queue lengths and resulting time losses at signalized intersections plays an essential role in control and management as well as in traffic state estimation for routing and navigation application...

Online traffic state estimation is fundamental to traffic engineering and control, enabling measures to enhance road safety and traffic efficiency. In this paper, we explore the utilization of Extended Floating Car Data (XFCD) collected by automated vehicles for online traffic state estimation. Compared to traditional FCD or probe data collecting...

In numerous urban environments Vulnerable Road Users (VRUs) such as pedestrians, cyclists and wheelchair users rely daily on a functioning transport infrastructure. We focus on modern vehicle types such as electric cargo bicycles and electric kick scooters, which face trends in usage especially in highly populated urban environments, and try to dis...

This study proposes a vertiport network for eVTOL in Germany. We use empirical travel survey data to estimate demand and calculate service "supply" based on the available space. Through a sensitivity study for different mode shares the resulting space requirements are determined. Both the potential travel demand and the potential supply of aircraft...

This paper investigates the detection rate of various freeway congestion patterns and compares them across different traffic sensor technologies. Congestion events can be categorized into multiple types, ranging from short traffic disruptions (referred to as Jam Wave) to Stop and Go patterns and severe congestion scenarios like Wide Jam. We analyze...

This paper gives a comprehensive insight into the investigations done in passenger redirection during incidents in public transport systems. In public transport operations, incidents such as traffic accidents, deployment of emergency forces, or technical failures happen every day and disrupt the service. Most of the investigations done in the field...

This paper has the goal to propose an approach to enable reliable planning of BEBs in a traffic simulation which acts as the virtual environment. It was shown that the defaults for the vehicle trajectories from the traffic simulation SUMO, introduce significant errors. With some fine tuning and optimization of the vehicle behavior, reasonable resul...

Lane-free traffic (LFT) is a new traffic system that relies on connected and automated vehicles (CAV) to increase road capacity and utilization by removing traditional lane markings using coordinated maneuvering of CAVs in LFT strategies. LFT is based on two main principles: upstream nudging and vehicles moving without adhering to any lane markings...

With the widespread adoption of mobility-on-demand (MoD) services and the advancements in autonomous vehicle (AV) technology, the research interest into the AVs based MoD (AMoD) services has grown immensely. Often agent-based simulation frameworks are used to study the AMoD services using the trip data of current Taxi or MoD services. For reliable...

The increasing need for sustainable and efficient urban transportation solutions has led to a growing interest in electric cargo bikes. These vehicles offer a promising alternative to traditional delivery methods, as they are environmentally friendly, costeffective, and can navigate congested urban areas more easily. However, there are reservations...

Automated driving offers excellent opportunities for ecology, economy as well as society. Especially in urban intersections, there is a considerable margin for benefits in these sectors. This work takes a structured simulation approach to find answers on the benefit of additional information about surrounding objects of automated vehicles provided...

Ride Parcel Pooling (RPP) is the integrated transportation of passengers and parcels. It builds on what's known as on-demand ride-pooling, which dynamically assigns customer trips to fleet vehicles in real time, sharing their rides, and thus aiming to save on driving distances and fleet size compared to on-demand ride-hailing services. In the case...

Free-fare policies have been proposed as a means to reduce emissions in the transport sector and promote equitable mobility. However, their potential distributional impacts on disadvantaged groups remain uncertain. Using data from Germany's 9-Euro-Ticket, we analyze the effects of nearly free transit on individuals with a low economic status, women...

This paper presents the implementation and potential use-cases of a new innovative development of a fully connected and automated three-wheeled cycle rickshaw. The rickshaw is used for transporting passengers or logistics parcels or a combination of both. For this purpose, the rickshaw is equipped with an electric power train system including a lit...

To evaluate the impact of new intelligent mobility solutions like automated vehicles or C-ITS, the access to proper data observations in real-world environments is an absolute necessity. The challenges new automated mobility faces in urban areas are manifold and require spatially and temporally extensive data from real world traffic situations and...

Tradable credit schemes have emerged as a promising approach to travel demand management. Literature covers tradable credit scheme affected travel behavior very well, but it has largely overlooked their potential from a merely quantitative perspective. In this paper, we focus on defining the underlying of a tradable credit for the matter of a net-z...

Lane-free traffic (LFT) is a new traffic systemthat relies on connected and automated vehicles (CAV) toincrease road capacity and utilization by removing traditionallane markings using coordinated maneuvering of CAVs in LFTstrategies. LFT is based on two main principles: upstreamnudging and vehicles moving without adhering to any lanemarkings. By l...

Battery electric buses are the go-to solution for clean public transport at the moment. But they come with operational challenges. One technology that could potentially help in some of those is inductive in-motion charging, as it reduces additional dwell times and can help minimize battery size. In addition, the infrastructure can also be used by o...

Recent developments in vehicular traffic have brought about the concept of lane-free traffic, challenging the traditional notion of parallel lanes, allowing vehicles to potentially drive at any arbitrary lateral location of the road. In this paper, we investigate the potential lines strategy proposed in our previous study for an efficient lateral d...

Bus bunching describes a phenomenon that is familiar to many public transport users. Two buses, running according to a scheduled frequency, arrive at a stop in immediate succession. In most cases, the leading vehicle is delayed. The delay causes an increasing number of waiting passengers at the stops. Through this higher number of boarding and alig...

We designed a novel virtual reality wheelchair simulator for investigating wheelchair users' driving behavior and road user interaction. The approach is unique because, unlike earlier design approaches, we do not use a fixed-base simulator. We allow the wheelchair user to move like in non-simulator conditions while only visual stimuli are substitut...