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2019 | Book

Application of the SCRUM Software Methodology for Extending Simulation of Urban MObility (SUMO) Tools Read chapter Read first chapter

Simulating Urban Traffic Scenarios

3rd SUMO Conference 2015 Berlin, Germany

Editors: Dr. Michael Behrisch, Prof. Dr. Melanie Weber

Publisher: Springer International Publishing

Book Series : Lecture Notes in Mobility

Part of: Springer Professional "Wirtschaft+Technik" , Springer Professional "Technik" , Springer Professional "Wirtschaft"

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About this book

This contributed volume contains the conference proceedings of the Simulation of Urban Mobility (SUMO) conference 2015, Berlin. The included papers cover a wide range of topics in traffic planning and simulation, including intermodal simulation, intermodal transport, vehicular communication, modeling urban mobility, open data as well as autonomous driving. The target audience primarily comprises researchers and experts in the field of mobility research, but the book may also be beneficial for graduate students.

Table of Contents

Frontmatter

Tools and Models

Frontmatter
Application of the SCRUM Software Methodology for Extending Simulation of Urban MObility (SUMO) Tools
Abstract
This chapter explains the implementation of software tools for setting up multimodal simulation scenarios in the Simulation of Urban MObility (SUMO). This implementation has been supported by the SCRUM methodology, which is a methodology suitable for incremental software development. Implementation of these tools starts from the re-engineering of open-source tools in previous developments. Furthermore, the new components are described and tested in a simulation scenario in the city of Medellín.
Andrés F. Acosta, Jorge E. Espinosa, Jairo Espinosa
Multi-resolution Traffic Simulation for Large-Scale High-Fidelity Evaluation of VANET Applications
Abstract
This paper presents an approach for coupling traffic simulators of different resolutions in order to conduct virtual evaluations of advanced driver assistance systems based on vehicular ad hoc networks that are both large scale and a high fidelity. The emphasis is put on the need for such an attempt to satisfy the constraint of performing simulations in real time. Both the methods to accomplish this as well as the resulting performance are described.
Manuel Schiller, Marius Dupius, Daniel Krajzewicz, Andreas Kern, Alois Knoll
How Does the Traffic Behavior Change by Using In-Vehicle Signage for Speed Limits in Urban Areas?
Abstract
Speeding is a major risk factor for accidents. Reminding the driver of the current speed limit might improve traffic safety. The impact of In-Vehicle Signage (IVS) for speed limits via Car2Infrastructure communication was investigated in a test field in Tampere (Finland). The test field results show that IVS has a positive influence on the speed of the drivers of the equipped vehicle. Different scenarios for the estimated penetration rates of equipped vehicles were set up to see the overall effects on the traffic efficiency by IVS. The effects on the traffic efficiency were simulated in SUMO. The simulation results show that no benefit in traffic efficiency for all traffic participants could be reached by IVS.
Laura Bieker
Connecting Macroscopic and Microscopic Traffic Assignment
Abstract
There are several methods of traffic assignment related to static assignment of link costs and a dynamic assignment based on microscopic traffic simulation which are implemented in SUMO. This paper compares the different approaches and implementations and shows how to combine them to derive a good starting solution for the more precise microscopic approach from the coarse macroscopic solution. In addition, a new tool from the SUMO suite and some first results of applying the schema to the city of Berlin are presented.
Michael Behrisch
A SUMO Extension for Norm-Based Traffic Control Systems
Abstract
Autonomous vehicles will most likely participate in traffic in the near future. The advent of autonomous vehicles allows us to explore innovative ideas for traffic control such as norm-based traffic control. A norm is a violable rule that describes correct behavior. Norm-based traffic controllers monitor traffic and effectuate sanctions in case vehicles violate norms. In this paper, we present an extension of SUMO that enables the user to apply norm-based traffic controllers to traffic simulations. In our extension, named TrafficMAS, vehicles are capable of making an autonomous decision on whether to comply with norms. We provide a description of the extension, a summary on its implementation and demonstrative experiments.
Jetze Baumfalk, Mehdi Dastani, Barend Poot, Bas Testerink
Public Transport, Logistics and Rail Traffic Extensions in SUMO
Abstract
Disasters and major events affect the efficiency of passenger and freight transportation. The project VABENE++ considers the question what happens when the transport network is disturbed due such an event. Within this project, the German Aerospace Centre developed a decision support tool that provides consolidated information and operation recommendations regarding individual motor car traffic based on traffic simulation performed by SUMO. Recently, it was aimed to realise simulation scenarios in which incidents impairing the transport network occur, and that focus on multimodal transportation systems. To enable this, the implementation of public transport in SUMO was extended and a new logistic concept was implemented. Furthermore, rail signals were implemented to enable more realistic rail-bound traffic, as this mode of transport is very significant for both public transport and logistics. The present paper presents these extensions in detail and outlines its usefulness in examples.
Andreas Kendziorra, Melanie Weber

Scenarios

Frontmatter
Accurate Vehicle Simulation in Logistic and Manufacturing Planning
Abstract
This paper outlines the need of accurate vehicle and traffic simulation in the field of logistic and manufacturing planning. Requirements, existing solutions, and their enhancements will be described, and their abilities will be discussed. Finally, the results of bringing together the planning software suite MALAGA with SUMO, in order to provide a logistic planning suite enabled with accurate vehicle movement, will be described.
Stefan Roth, Franz-Joseph König, Christian Dirschl, Marek Heinrich
Flood Impacts on Road Transportation Using Microscopic Traffic Modelling Techniques
Abstract
This paper proposes a novel methodology for modelling the impacts of floods on traffic. Often, flooding is a complex combination of various causes (coastal, fluvial and pluvial). Further, transportation systems are very sensitive to external disturbances. The interactions between these two complex and dynamic systems have not been studied in detail so far. To address this issue, this paper proposes a methodology for a dynamic integration of a flood model (MIKE FLOOD) and a microscopic traffic simulation model (SUMO). The flood modelling results indicate which roads are inundated for a period of time. The traffic on these links will be halted or delayed according to the flood characteristics—extent, propagation and depth. As a consequence, some of the trips need to be cancelled; some need to be rerouted to unfavourable routes; and some are indirectly affected. A comparison between the baseline and a flood scenario yields the impacts of that flood on traffic, estimated in terms of lost business hours, additional fuel consumption and additional CO2 emissions. The proposed methodology will be further developed as a workable tool to evaluate the flooding impact on transportation network at city scale automatically.
Katya Pyatkova, Albert S. Chen, Slobodan Djordjević, David Butler, Zoran Vojinović, Yared A. Abebe, Michael Hammond
Improving Traffic Lights System Management by Translating Decisions of Traffic Officer
Abstract
Coordination of traffic signal timing systems has significant impacts on traffic congestion, waiting time, risks of accidents, and unnecessary fuel consumption. Actually, systems of traffic light’s programming involve complex calculations especially to tackle problematic situations in real time. Another way of doing is to manage traffic flow by traffic officers. Despite the limitation of short-term retention of human brain to few elements, human being can make decisions in case of system malfunction or during special events. The human strategy as that of the traffic officers is simple and is based on common sense. This paper explains how to implement this strategy and gives some results obtained. The simulation is performed with the open-source traffic simulation software, simulation of urban mobility (SUMO). The preliminary simulation results are promising for the continuation of this research. The observation of patterns could bring to propose an intelligent system more efficient that reuses similar cases to save time.
François Vaudrin, Laurence Capus
eNetEditor: A Platform-Independent Tool for Rapid Creation of Urban Traffic Scenarios and for the Optimization of Their Energy Supply Infrastructure
Abstract
The increasing mobility and transport demand and the sinking global supply of fossil energy carriers will eventually cause a growing trend toward alternative drive concepts and the development of corresponding energy supply infrastructures. These emerging solutions and their interaction with the prevailing traffic will need to be evaluated for their optimal integration. SUMO is a preferred tool when it comes to evaluating measures in urban traffic behavior. When using SUMO, however, the creation of corresponding scenarios is accompanied by challenges in network creation and corrections, traffic demand generation and calibration. This paper presents the newly developed tool eNetEditor, which allows users the rapid prototyping of custom and calibrated traffic scenarios and their evaluation in regard to energy consumption.
Tamás Kurczveil, Pablo Álvarez López
Metadata
Title
Simulating Urban Traffic Scenarios
Editors
Dr. Michael Behrisch
Prof. Dr. Melanie Weber
Copyright Year
2019
Electronic ISBN
978-3-319-33616-9
Print ISBN
978-3-319-33614-5
DOI
https://doi.org/10.1007/978-3-319-33616-9

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