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.
PublicationJun 26, 2017
The passenger extension of the TRANSP-0 system design framework
In recent years, potentially disruptive transportation paradigms such as mobility-on-demand, autonomous vehicles and the transportation electrification have seen increased attention for designing intelligent transportation systems (ITS). These paradigms represent unifying approaches in addressing sustainable alignment between transportation demand and supply in the context of rising world passenger transport energy use and increasing negative environmental impacts. It is crucial to establish integrated planning and control strategies for both transportation and power systems, as the aforementioned paradigms exert interrelated and concurrent effects on these systems. To evaluate future transportation and power system design options coherently and explore the potential effects of the aforementioned paradigms, in this work, we extend the design space of a formal system design framework for integrated …
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.
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.
PublicationSep 24, 2023
Model-based design of integrated transportation systems using approximate dynamic programming
Based on recent developments and technological advances, the complexity and number of systems and services for intelligent transportation systems (ITS) has risen dramatically. The interactions between these systems and services require systematic development methods for their integrated structural design as well as their behavioral planning in terms of integrated control strategies, which can address multiple as well as heterogenous goals. To address this situation, in this work, we propose an approach for integrated modeling of heterogenous ITS systems and their integrated evaluation using approximate dynamic programming (ADP). For this, we introduce a methodology which incorporates the necessary design principles and requirements to address above challenges. Then, we present an integrated systems modeling technique which is used for problem formulation. In addition to problem formulation, it …