
PublicationNov 1, 2016
The TRANSP-0 framework for integrated transportation and power system design
Increasing penetration of decentralized energy production as well as the propagation of new transportation paradigms such as transportation electrification, autonomous vehicles and mobility-on-demand will require interrelated key changes to current transportation and power systems. To diminish negative environmental impacts and achieve longterm sustainability, close integration between transportation and power systems is necessary and integrated planning, operation and control strategies have to be established. In this paper, we present TRANSP-0, a system design framework for rapid formulation and evaluation of design options within integrated transportation and power systems. Firstly, we present the TRANSP-0 design space in terms of the static parameters for integrated subsystem design. Secondly, we visit the dynamic properties of subsystem design by formulating the underlying optimal control problem. Thirdly, we establish the requirements to integrated control strategies in terms of objectives and constraints of the described optimal control problem. Finally, we conclude with an outlook on the future scope of the proposed system design framework.

PublicationOct 19, 2015
Integrated transportation and power system modeling
Undesired impacts on the power system caused by electric vehicles (EVs) remain a major challenge that needs to be addressed to guarantee their safe widespread adaption. In this context, efficiently balancing power demand power grids represents a fundamental issue of vehicle-to-grid (V2G) applications of EV. Here, existing approaches cover only a limited set of features required to achieve integrated multi-objective transportation and power system modeling. In this paper, we investigate an approach for holistic and integrated modeling of transportation systems and electric networks, covering electric devices within the power system and individual cars on the traffic network which make up the transportation system. The approach allows for rapid variation and evaluation of scenarios of both transportation systems and electric networks by varying their configuration, composition and underlying objectives. We apply our approach to different incremental small-scale V2G example scenarios. Obtained simulation results show the feasibility of the approach in terms of the employed modeling technique. Based on simulation results, we conclude with an evaluation of our approach with respect to it's validity, novelty, efficiency and applicability.
PublicationFeb 26, 2025
Next-Generation Design Tools for Intelligent Transportation Systems.
Intelligent Transportation Systems (ITS) promote new transportation paradigms such as connected and autonomous vehicles (CAV), multi-modal and demand-responsive transport systems, and enable the transportation electrification by sustainable operation of electric vehicles. Methods and tools are needed to explore the possible design space for emerging transportation paradigms, which support evaluation of system design alternatives and verification of system properties. In this work, we propose a model-and simulation-based systems engineering framework for capturing design decisions and evaluating control strategies for ITS design. In addition to capturing and evaluating different design decisions, the proposed solution allows users to guide design decisions by systematic comparison and evaluation of system configurations and control strategies.
PostOct 1, 2015
Integrated transportation and power systems modeling
Here is another interesting piece of work I was doing over the past three years with Dominik Ascher: Integrated transportation and power systems modeling to hel...
PublicationNov 11, 2014
Early Estimation of Multi-Objective Traffic Flow
Intelligent Transportation Systems (ITS) have come a long way targeting problems such as increasing emissions and growing vehicle numbers. Current approaches address a variety of objectives including congestion management, collision avoidance, energy-efficiency and emission reduction. However, respective solutions typically are designed for and tailored to a predefined set of objectives. Consequently, the effects of drastically changing objectives cannot be assessed easily. To address this situation we present a lightweight approach to estimating multi-objective traffic flow early in systems engineering using non-deterministic models and stochastic optimization techniques. We demonstrate the feasibility of the framework using a basic traffic scenario and conclude with future work.

PublicationDec 11, 2023
A discrete event formalism for fast simulation of on-demand transportation systems
The interconnection between intelligent transportation systems (ITS) and services poses fundamental challenges with respect to establishing most efficient structures as well as intelligent and integrated control strategies addressing new transportation paradigms such as autonomous vehicles, mobility-on-demand as well as the transportation electrification. Systematic and integrated methods for efficiently modeling, simulating and evaluating these systems are required, which are able to address aforementioned challenges. For this, we present a discrete event formalism for fast simulation of on-demand transportation systems, which provides a formalization of essential static properties, dynamic state functions, as well as events concisely describing transportation system design space in the scope of emerging transportation paradigms. Our formalism allows for reduction of computational complexity by defining …