Gabriel Tilg

• Doctor of Engineering
• Co-founder at Transcality

The design of network-wide traffic management schemes or transport policies for urban areas requires computationally efficient traffic models. The macroscopic fundamental diagram (MFD) is a promising tool for such applications. Unfortunately, empirical MFDs are not always available, and semi-analytical estimation methods require a reduction of the...

Connected and automated vehicles (CAVs) will behave fundamentally differently than human drivers. In mixed traffic, this could lead to inefficiencies and safety-critical situations since neither human drivers nor CAVs will be able to fully anticipate or predict surrounding traffic dynamics. Thus, some researchers proposed to separate CAVs from conv...

Automatisierter und vernetzter Straßenverkehr kann erheblichen Einfluss auf die Leistungsfähigkeit zukünftiger städtischer Straßennetze haben. Um den Möglichkeitsraum etwas einzugrenzen und realistische Entwicklungen darzulegen, wurden in der Studie „Leistungssteigerung städtischer Straßennetze“ simulationsbasierte Untersuchungen durchgeführt. Di...

This paper explores the potential of aggregated traffic models based on the Macroscopic Fundamental Diagram for building a network-wide monitoring system of travel emissions. Such a system consists of two layers. In a bottom layer, an aggregated traffic model predicts the network dynamics. In a top layer, an emission model estimates the total exhau...

When planning road networks, inhomogeneous traffic conditions and the effects of multimodal interactions are often neglected. This can lead to a substantial overestimation of network capacities. Empirical macroscopic fundamental diagrams (MFDs) or volume delay relationships show considerable scatter, reflecting a reduction in network performance an...

The three-dimensional passenger macroscopic fundamental diagram (pMFD) defines the functional relation between car accumulation, bus accumulation, and travel pro- duction of passengers. It facilitates the analysis of bi-modal traf- fic dynamics from the perspective of passenger flows. Usually, it is estimated based on empirical or simulated data. T...

The well-known Lighthill–Whitham–Richards (LWR) theory is the fundamental pillar for most macroscopic traffic models. In the past, many methods were developed to numerically derive solutions for LWR problems. Examples for such numerical solution schemes are the cell transmission model, the link transmission model, and the variational theory (VT) of...

Sustainable transport systems require expedient traffic management strategies and transport policies. To evaluate such strategies and policies, efficient quality monitoring schemes need to be readily available. The backbone of sustainable transport systems remains public transportation (PT). In this work, we introduce a network reliability performa...

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...

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...

The design of network-wide schemes requires computationally efficient traffic models. The Macroscopic Fundamental Diagram (MFD) is a promising tool for such an application. Unfortunately, current semi-analytical approaches require an inaccurate network reduction to a corridor. Our methodology allows us to estimate the MFD for general networks, with...

The three-dimensional passenger macroscopic fundamental diagram (pMFD) describes the relation of the network accumulation of public transport and private vehicles, and the passenger production. It allows for modeling the multi-modal traffic dynamics in urban networks and deriving innovative performance indicators. This paper integrates this concept...

The well-known Lighthill-Whitham-Richards (LWR) theory is the fundamental pillar for most macroscopic traffic models. In the past, many methods were developed to numerically derive solutions for LWR problems. Examples for such numerical solution schemes are the cell transmission model, the link transmission model, and the variational theory (VT) of...

The well-known Lighthill-Whitham-Richards (LWR) theory is the fundamental pillar for most macroscopic traffic models. In the past, many methods were developed to numerically derive solutions for LWR problems. Examples for such numerical solution schemes are the cell transmission model, the link transmission model, and the variational theory (VT) of...

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...

The Macroscopic Fundamental Diagram (MFD) describes the relation of average network flow, density and speed in urban networks. It can be estimated based on empirical or simulation data, or approximated analytically. Two main analytical approximation methods to derive the MFD for arterial roads and urban networks exist at the moment. These are the m...

The degradation of road network performance due to incidents is a major concern to traffic operators. The development of urban traffic incident management systems requires a comprehensive understanding of traffic dynamics during incidents. Recently, the concept of the macroscopic fundamental diagram (MFD) contributed to such an understanding and ha...

Since the description of the Macroscopic Fundamental Diagram (MFD) based on loop detector data (LDD) and floating car data (FCD) for the city of Yokohama, several analytical approximation methods to derive the MFD for arterial roads and urban networks have been proposed. This includes the method of cuts, a network-free variational theory approach a...

Weaving sections, where a merge and a diverge are in close proximity, are considered as crucial bottlenecks in the highway network. Lane changes happen frequently in such sections, leading to a reduced capacity and the traffic phenomenon known as capacity drop. This paper studies how the emerging automated vehicle technology can improve the operati...

Verflechtungszonen, in denen ein Ein- und Ausfädelungsbereich unmittelbar aufeinanderfolgen, gelten als entscheidende Engpässe im Autobahnnetz. In diesem Artikel wird ein Modellansatz beschrieben, mit welchem der Einfluss automatisierten Fahrens auf die Kapazität von Verflechtungsbereichen untersucht wird. Das anhand empirischer Daten validierte Mo...

This paper proposes a methodology to evaluate the performance of a road network during non-recurring congestion for real-time traffic control applications. A novel performance indicator based on the concept of the macroscopic fundamental diagram (MFD) is developed to assess the travel production of the network. The proposed indicator is obtained by...