Smart Mobility - Assessment, Modeling, Design

Structure

This lecture is accompanied by integrated practice sessions and an optional practical course: The Campus Mobility Lab.

The course is credited with 5, optionally 6 ECTS. By participating in the Campus Mobility Lab successfully, the students can elect between 1 additional ECTS or a grade bonus within the 5 ECTS course.

Team

Lennart Adenaw

Georg Balke

Contact: vl.smartmobility.ftm(at)ed.tum.de

Available online

The lecture will be video recorded and is available via moodle/Panopto.

Content

The content of the lecture is divided into three topics: "Understanding Mobility", "Modeling Mobility" and "Designing Mobility". These topics will guide the students as the main motivation through the following lecture dates:

Part I: Assessing Mobility

T1: Introduction - Smart Mobility

Organizational matters| Introduction to mobility, current trends, and challenges | Clarification of central terminology

T2: Status Mobility

Understanding human mobility | Mobility-relevant indicators | Transportation performance and infrastructure of existing mobility systems

T3: Mobility costs

Internal and external costs of mobility systems | Cost calculation for existing mobility systems

T4: Mobility data analysis

Spatial analysis of mobility in defined target regions | Tools and methods for mobility data collection and analysis

Part II: Modeling Mobility

T5: Mobility models

Modeling human mobility | Mobility types

T6: Modeling Mobility Systems

Simulation types and areas of application | Presentation of well-known simulation frameworks | Practical introductions

Lab 1: Campus Mobility Lab - Group Work

Date for the supervised group work on the "Campus Mobility Lab" project

Part III: Designing Mobility

T7: Mobility and space: urban planning and design

Interactions between mobility and urban planning | Traffic and spatial planning aspects of mobility

T8: Sharing Economy: Shared mobility systems

Potentials of sharing economy | Presentation and taxonomy of existing sharing-based mobility systems | Operational organization of sharing-based mobility concepts

T9: Integration and incentive systems

Integration of mobility systems into overall urban concepts | Inter- and multimodality | Incentive systems to influence user behavior

T10: Electrification

Electrification of motorized individual transport | Consumption prediction | Charging demand prediction | Development and planning of electrification scenarios

Lab 2: Campus Mobility Lab - Final Presentation

Presentation of the developed solutions from the "Campus Mobility Lab" project to earn the grade bonus.

T11: Green Logistics

Potentials of C.A.S.E approaches in freight transport and logistics | Existing and future freight transport systems

T12: Guest lecture and exam session

Guest lecturer from politics/economics | Summary of lecture contents | Exam preparation

Literature

W. Siebenpfeiffer (Hrsg.) – „Mobilität der Zukunft“, Springer Vieweg, 2021, ISBN: 978-3-662-61351-1

C. Nobis and T. Kuhnimhof – „Mobilität in Deutschland – MiD Ergebnisbericht“, http://www.mobilitaet-in-deutschland.de/pdf/MiD2017_Ergebnisbericht.pdf, 2018

M. Lienkamp et al. – „Status Elektromobilität 2020: Das Endspiel nach der Corona-Krise“, https://www.researchgate.net/publication/341670568_Status_Elektromobilitat_2020_Das_Endspiel_nach_der_Corona-Krise, 2020

L. Adenaw and M. Lienkamp – „Multi-Criteria, Co-Evolutionary Charging Behavior: An Agent-Based Simulation of Urban Electromobility”, www.mdpi.com/2032-6653/12/1/18, 2021

L. Adenaw et al. – „MAGIS – A Geographic Information System for Mobility Data Analysis”, https://ieeexplore.ieee.org/document/8917054, 2019

D. Schröder et al. – „Enhancing Sustainability in a Government-Contracted Mobility-as-a-Service Model”, https://mediatum.ub.tum.de/node?id=1639704, 2022

D. Schröder and F. Gotzler – „Comprehensive spatial and cost assessment of urban transport options in Munich”, www.sciencedirect.com/science/article/pii/S2667091721000078 , 2021

M. Wittmann and L. Martin – „The Influence of Public Transport Delays on Mobility on Demand Services”, https://www.mdpi.com/2079-9292/10/4/379, 2021

M. Wittmann et al. – “A Predictive Fleet Management Strategy for On-Demand Mobility Services: A Case Study in Munich”, https://www.mdpi.com/2079-9292/9/6/1021, 2020

M. Wittmann et al. – „A Holistic Framework for Acquisition, Processing and Evaluation of Vehicle Fleet Test Data”, ieeexplore.ieee.org/document/8317637, 2017

D. Ziegler et al. – “Unified Mobility Estimation Model”, https://ieeexplore.ieee.org/document/9564453, 2021

M. Klöppel et al. – “Agent-based Simulation of a Car-sharing System with Hydrogen-powered Vehicles”, https://ieeexplore.ieee.org/document/8813666,2019