This volume contains the proceedings of the SUMO Conference 2017 which was held from 8th to 10th

May 2017 with a focus on autonomous mobility. In the current transition process traffic simulation is

the only tool which can give us insights in the mechanisms of traffic in largely automatized traffic

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scenarios. SUMO as an open source tool provides a wide range of traffic planning and simulation

functionalities to support the scientific community. The conference proceedings offer an overview of

the applicability of the SUMO tool suite as well as its universal extensibility due to the availability of

the source code. The major topic of this fifth edition of the SUMO conference is the calibration of

simulation to real world or handbook data as well as communicating networks of intelligent vehicles.

A number of contributions cover heterogeneous traffic networks, junction control and new traffic

model extensions to the simulation. Subsequent specialized issues such as emission modelling and

personal rapid transit simulation are targeted as well. At the conference the international user

community exchanged their experiences in using SUMO. With this volume we provide an insight to

these experiences as inspiration for further projects with the SUMO suite.

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With this volume we publish the proceedings of the SUMO Conference 2016 which was held from

23rd to 25th May 2016 with a focus on traffic, mobility, and logistics. SUMO is an open source tool

for traffic simulation that provides a wide range of traffic planning and simulation functionalities.The

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conference proceedings offer an overview of the applicability of the SUMO tool suite as well as its

universal extensibility due to the availability of the source code. The major topic of this fourth

edition of the SUMO conference are the different facets of moving objects occurring as personal

mobility and freight delivery as well as communicating networks of intelligent vehicles. Several

articles cover heterogeneous traffic networks, junction control and new traffic model extensions to

the simulation. Subsequent specialized issues such as disaster management aspects and applying

agile development techniques to scenario building are targeted as well. At the conference the

international user community exchanged their experiences in using SUMO. With this volume we

provide an insight to these experiences as inspiration for further projects with the SUMO suite.

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This volume contains the proceedings of the SUMO2015 – Intermodal Simulation for

Intermodal Transport Data, which was held from 7th to 8th May 2015 in Berlin-Adlershof,

Germany. SUMO is a well established microscopic traffic simulation suite which has been

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available since 2002 and provides a wide range of traffic planning and simulation tools. The

conference proceedings give a good overview of the applicability and usefulness of simulation

tools like SUMO ranging from new methods in traffic control and vehicular communication to

the simulation of complete cities. Another aspect of the tool suite, its universal extensibility

due to the availability of the source code, is reflected in contributions covering rapid scenario

prototyping and interfacing improvements to govern microscopic traffic simulation results.

The major topic of this third edition of the SUMO conference is the interaction of different

types of traffic and intermodality. Several articles cover heterogeneous traffic networks as well

as logistics and pedestrian extensions to the simulation. Subsequent specialized issues such as

disaster management aspects and applying agile development techniques to scenario building

are targeted as well. The conference’s aim was bringing together the large international user

community and exchanging experience in using SUMO, while presenting results or solutions

obtained using the software or modeling mobility with open data. Let you inspire to try your

next project with the SUMO suite. There are many new applications in your environment.

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Motivations and Aims – Problems of Urban Traffic

● On Hungarian roads, traffic increased by 400%

since 1995

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● Improper timing of TLSs and frequent change

of lanes slows the traffic

● Traffic congestion is becoming a permanent

state of affairs

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•Car-drivers: traffic signals do always display red when I arrive there

•To remedy this, traffic signal co-ordination is attempted

•Most famous: the green wave

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•Easy to understood: in a space-time diagram, a platoon of vehicles progresses from one traffic light to the next

•Unfortunately easy to understood: one may think that doing the same in networks is simple, too.

•Not true, of course

> Traffic signal co-ordination > Alms et al • coordination.pptx > 15 May 2019

DLR.de • Chart 2

https://www.fhwa.dot.gov/publications/publicroads/02janfeb/timing.cfm

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Conclusion and Future Works

•Ablation studies on hyperparameters

•Varying load of the extended flows

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•Varying agent’s discount factor

•Varying types and number of sensory inputs

•Exploring on different rewards

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Faculty of Engineering, Chulalongkorn University

Motivation

Traffic bottlenecks

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Recurrent and non-recurrent congestion

Upstream-downstream congestion propagation

Objectives

Background

Literature review on recurrent and non-recurrent congestion

Chula-Sathorn SUMO Simulator(Chula-SSS)

How to simulate gridlock?

How to characterize gridlock?

The scenario used on Chula-SSS and observation results

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• Study of the bicycle traffic quality and safety in urban bicycle infrastructure

• Analysis of the influence of heterogeneous bicycle traffic composition on bicycle traffic flow

• Assessment of bicycle traffic control measures on traffic flow efficiency

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• Realistic simulation of traffic user behaviour and road infrastructure in simulator environments

• Very limited native support or provision of specific guidelines on how to model special bicycle

infrastructure in modern simulation software such as SUMO or VISSIM

• Modelling bicycle infrastructure in modern simulation tools requires users to experiment with adjusting

existing network design elements and modifying network elements, road user restrictions, traffic signal

control elements, bicyclist behavior, or even script solutions through the respective API

Motivation

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