ML p(r)ior | JADE, TraSMAPI and SUMO: A tool-chain for simulating traffic light control

JADE, TraSMAPI and SUMO: A tool-chain for simulating traffic light control

2016-01-29
Increased stress, fuel consumption, air pollution, accidents and delays are some of the consequences of traffic congestion usually incurring in tremendous economic impacts, which society aims to remedy in order to leverage a sustainable development. Recently, unconventional means for modeling and controlling such complex traffic systems relying on multi-agent systems have arisen. This paper contributes to the understanding of such complex and highly dynamic systems by proposing an open-source tool-chain to implement multi-agent-based solutions in traffic and transportation. The proposed approach relies on two very popular tools in both domains, with focus on traffic light control. This tool-chain consists in combining JADE (Java Agent DEvelopment Framework), for the implementation of multi-agent systems, with SUMO (Simulation of Urban MObility), for the microscopic simulation of traffic interactions. TraSMAPI (Traffic Simulation Manager Application Programming Interface) is used to combine JADE and SUMO allowing communication between them. A demonstration of the concept is presented to illustrate the main features of this tool-chain, using Q-Learning as the reinforcement learning method for each traffic light agent in a simulated network. Results demonstrate the feasibility of the proposed framework as a practical means to experiment with different agent-based designs of intelligent transportation solutions.
PDF

Highlights - Most important sentences from the article

Login to like/save this paper, take notes and configure your recommendations

Related Articles

2017-10-16

Flow is a new computational framework, built to support a key need triggered by the rapid growth of … show more
PDF

Highlights - Most important sentences from the article

2018-03-29

Existing inefficient traffic light control causes numerous problems, such as long delay and waste of… show more
PDF

Highlights - Most important sentences from the article

2019-04-17
1904.08353 | stat.ML

Reinforcement learning (RL) constitutes a promising solution for alleviating the problem of traffic … show more
PDF

Highlights - Most important sentences from the article

2019-03-11

Reinforcement learning (RL) is a promising data-driven approach for adaptive traffic signal control … show more
PDF

Highlights - Most important sentences from the article

2019-05-13

Traffic signal control is an emerging application scenario for reinforcement learning. Besides being… show more
PDF

Highlights - Most important sentences from the article

2019-05-12

Increasingly available city data and advanced learning techniques have empowered people to improve t… show more
PDF

Highlights - Most important sentences from the article

2019-04-07

Infrastructure in future smart and connected communities is envisioned as an aggregate of public ser… show more
PDF

Highlights - Most important sentences from the article

2019-03-21

This paper presents the design of an ecological adaptive cruise controller (ECO-ACC) for a plug-in h… show more
PDF

Highlights - Most important sentences from the article

2018-11-27

This work examines the implications of uncoupled intersections with local real-world topology and se… show more
PDF

Highlights - Most important sentences from the article

2018-05-30

Future 5G wireless networks will rely on agile and automated network management, where the usage of … show more
PDF

Highlights - Most important sentences from the article

2019-04-23
1905.01361 | cs.MA

This paper introduces a multi-agent approach to adjust traffic lights based on traffic situation in … show more
PDF

Highlights - Most important sentences from the article

2019-05-11

Cooperation is critical in multi-agent reinforcement learning (MARL). In the context of traffic sign… show more
PDF

Highlights - Most important sentences from the article

2018-12-05

Urban Traffic Networks are characterized by high dynamics of traffic flow and increased travel time,… show more
PDF

Highlights - Most important sentences from the article

2019-03-06
1903.04278 | cs.AI

Recent work in decentralized, schedule-driven traffic control has demonstrated the ability to signif… show more
PDF

Highlights - Most important sentences from the article

2018-10-26

This paper presents YatSim, an open-source program for simulating consensus-based control strategies… show more
PDF

Highlights - Most important sentences from the article

2019-03-06
1903.02589 | cs.NI

We consider the problem of minimizing the delay of jobs moving through a directed graph of service n… show more
PDF