Research field B: (De-)centralized cooperative traffic management
Research field B put emphases on key models and key methods of (de-)centralized cooperative traffic management which are investigated in the research areas (De-)centralized cooperative traffic management (B1) and Distributed intelligent and cooperative systems (B2).
B1. Sustainable cooperative traffic management for urban environments (Prof. Friedrich)
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B1.1 Qinrui Tang: Left Turn Prohibition Problem combining Traffic Assignment
B1.2 Aleksandar Trifunović: (Re)design of public transport network to integrate shared modes of transport
B2. Distributed intelligent and cooperative systems (Prof. Müller)
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B2.1 Malte Aschermann: Automated Mechanisms of Cooperative Traffic Flow Coordination: Fairness vs. Efficiency
Cooperative Lane Management and Traffic flow Optimisation
To answer my research questions regarding coordination mechanisms on 2+1 roadways, I developed the platform Cooperative Lane Management and Traffic flow Optimisation (CoLMTO).
Execution Model
The execution model of CoLMTO, developed to conduct my simulation studies, is depicted in the following figure:
Architecture
The software architecture is structured as follows:
Source Code Statistics
Activities
- 2017-09-19: After ~3 months of preparation, we held the multi-agent simulation workshop for the 2nd SocialCars cohort. My part was designing and realising the didactic concepts of the workshop.
- 2017-09-05: Presented our publication Towards Fair and Efficient Traffic Flow Coordination Mechanisms for 2+1 Roadways at EWGT 2017, Budapest, 20th EURO Working Group on Transportation Meeting.
- 2017-06-30: Presented Confirmability and reproducibility of scientific insights and artefacts at the SocialCars kickoff workshop for the 2nd cohort. Philipp Kraus and I put forward solutions to ensure reproducibility and transparency of scientific models and results in compliance with DFG regulations.
- 2017-04-06: Released v0.1.1 of CoLMTO, referenced as
.
It was used for simulating satisfaction, fairness and efficiency on 2+1 roadways. The findings were submitted as EWGT 2017 paper Towards Fair and Efficient Traffic Flow Coordination Mechanisms for 2+1 Roadways. The resulting/related dataset is available as.
- 2016-12-15: Attended EUMAS 2016, Valencia, 14th European Conference On Multi-Agent Systems and presented paper LightJason: A BDI Framework Inspired by Jason.
- 2016-11-20: Co-authored technical report about LightJason, published in the IfI Technical Report Series.
- 2016-10-19: Co-authored paper LightJason: A BDI Framework Inspired by Jason (got accepted for publication at EUMAS 2016).
- 2016-06-02: Attended SECURITY 2016, Braunschweig.
- 2015-07-06: Attended EASSS 2015, Barcelona, 17th European Agent Systems Summer School.
- 2015-05-31: Attended 9th Joint Workshop of the German Research Training Groups in Computer Science, Dagstuhl 2015 and presented my research topics in a poster session.
- 2015-02-12: Attended AAET 2015.
LightJason/AgentSpeak(L++)
Since 2015, I am working together with Philipp Kraus and Sophie Dennisen on a joint project called LightJason/AgentSpeak(L++).
As described on our website
LightJason is a concurrent BDI multi-agent framework for creating a multi-agent systems with Java. The project is inspired by AgentSpeak(L) and Jason, but designed and implemented from scratch. LightJason is fine-tuned to concurrent plan execution suitable for distributed computing environments and aims at efficient and scalable integration with existing platforms.
Our goal is to provide researchers a scalable platform to simulate multi-agent environments with concurrent execution in mind.
Related student research projects (supervised by me)
- Platooning models for autonomous vehicles in SUMO (GitHub)
- Vehicle following models with social force (BSc thesis, GitHub)
- Agent-based simulation of cooperative driving manoeuvres of autonomous cars (BSc thesis, GitHub)
- Aufdeckung von regelwidrigem Verhalten von Agenten im Verkehrskontext (Revealing rule-adverse behaviour of agents in traffic context) (BSc thesis)
- Entwicklung eines institutionellen Frameworks für multiagentenbasierte Verkehrssimulationen (Developing an institutional framework for multiagent-based traffic simulations) (MSc thesis)
Publications
- 📖 Aschermann, M.; Dennisen, S.; Kraus, P.; Müller, J. (2018). LightJason, a Highly Scalable and Concurrent Agent Framework: Overview and Application (Demonstration). pp. tbd, ACM Proceedings. Accepted, to appear.
- 📖 Aschermann, M.; Friedrich, B.; Müller, J. (2017). Towards fair and efficient traffic flow coordination mechanisms for 2+1 roadways. pp. 436-443, Transportation Research Procedia. .
- 📖 Aschermann, M.; Kraus, P.; Müller, J. (2017). LightJason: A BDI Framework inspired by Jason. Lecture notes in computer science - Multi-Agent Systems and Agreement Technologies: 14th Europ. Conf., EUMAS 2016, and 4rd int. Conf., AT 2016, Valencia, Spain, 2016, pp. 58-66, volume 10207. Springer International Publishing.
- 📖 Rybarsch, M.; Aschermann, M.; Bock, F.; Goralzik, A.; Köster, F.; Ringhand, M.; Trifunović, A. (2017). Cooperative parking search: Reducing travel time by information exchange among searching vehicles.
- 📖 Aschermann, M.; Kraus, P.; Müller, J. (2016). LightJason: A BDI Framework Inspired by Jason. IfI-16-04. Department of Informatics, Clausthal University of Technology.
B2.2 Sophie Dennisen: Collective Decision-Making Mechanisms in Urban Traffic
Considered Scenario
In my research, I consider an intraurban (future) scenario where visitors of a city form travel groups at pre-defined locations and need to agree on locations to visit together.
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LightVoting
To answer my research questions regarding the suitability of different voting mechanisms for collective decision making in urban traffic, I developed the simulation tool LightVoting which is based on LightJason developed by my colleagues Philipp Kraus and Malte Aschermann.
Execution Model
The following figure depicts the execution model of LightVoting:
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Simulation Architecture
The following figure gives an overview of the LightVoting simulation architecture:
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Source Code Statistics
Activities
- 2017-09-04: Attended EWGT 2017, Budapest, 20th EURO Working Group on Transportation Meeting.
- 2017-06-15: Co-authored paper Location- and time-dependent meeting point recommendations for shared interurban rides submitted to JLBS
- 2016-12-15: Attended EUMAS 2016.
- 2016-07-10: Presented paper Iterative committee elections for collective decision-making in a ride-sharing application at ATT 2016
- 2016-06-02: Attended SECURITY 2016.
- 2015-09-28: Presented paper Agent-Based Voting Architecture for Traffic Applications at MATES 2015 and attended Doctoral Consortium of MATES 2015 with talk “Voting in Traffic Applications”.
- 2015-07-06: Attended EASSS 2015.
- 2015-05-06: Presented poster Voter dissatisfaction in committee elections at AAMAS 2015
- 2015-04-26: Co-authored paper Winner Determination and Manipulation in Minisum and Minimax Committee Elections which was accepted for publication at ADT 2015.
- 2015-02-12: Attended AAET 2015.
Publications
- 📖 Aschermann, M.; Dennisen, S.; Kraus, P.; Müller, J. (2018). LightJason, a Highly Scalable and Concurrent Agent Framework: Overview and Application (Demonstration). pp. tbd, ACM Proceedings. Accepted, to appear.
- 📖 Czioska, P.; Trifunović, A.; Dennisen, S.; Sester, M. (2017). Location- and time-dependent meeting point recommendations for shared interurban rides.
- 📖 Dennisen, S.; Müller, J. (2016). Iterative committee elections for collective decision-making in a ride-sharing application. pp. 1-8, CEUR. (New York, USA). Electronic proceedings.
- 📖 Baumeister, D.; Dennisen, S. (2015). Voter dissatisfaction in committee elections. pp. 1707-1708, International Foundation for Autonomous Agents; Multiagent Systems.
- 📖 Baumeister, D.; Dennisen, S.; Rey, L. (2015). Winner determination and manipulation in minisum and minimax committee elections. pp. 469-485, Springer.
- 📖 Dennisen, S.; Müller, J. (2015). Agent-based voting architecture for traffic applications. Lecture notes in artificial intelligence - Proceedings of the 13th german conference of multiagent system technologies (mates 2015), pp. 200-217, volume 9433. Springer-Verlag. (Cottbus, Germany).