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Translating SUMO-K to Higher-Order Set Theory
We describe a translation from a fragment of SUMO (SUMO-K) into higher-order set theory. The translation provides a formal semantics for portions of...
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Enhancing User Experience: Designing Intuitive Interfaces for Sumo Robot Operations
Because the future aspect of technology was never certain, people have discovered the vast potential of robotics to provide solutions to various...
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AGAMAS: A New Agent-Oriented Traffic Simulation Framework for SUMO
Simulating everyday traffic scenarios is not an easy task. Many aspects have to be taken into consideration and properly modelled, from static...
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Using SUMO to Construct Dynamic Urban Modeling Scenarios for Military Transport
SUMO (Simulation of Urban MObility) is a microscopic simulator of continuous multimodal vehicular and pedestrian traffic along large urban road...
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Virtual Testbed of Vehicular Network for Collision Simulation and Detection on SUMO and OMNeT++ Simulators
Vehicular safety technologies play a vital role in preventing or minimizing the impact of vehicle collisions to reduce life-threatening injuries and...
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A SUMO Simulation Study on VANET-Based Adaptive Traffic Light Control System
Congestion due to vehicular traffic is a severe global concern. The time spent waiting for the green lights is one of the significant causes of...
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Neural Network-Based Optimization of Traffic Light Regulation of a Transport Hub with Data Fetched During Simulation in SUMO Package
The paper proves the necessity to optimize the time of a traffic light signal as the fastest and most cost-effective way to improve the efficiency of...
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Simulation of Routing Protocols for IoV in Real-Time Mobility Model Environment
Vehicles in the Internet of Vehicles (IoV) create wireless connections and participate in routing by sending information to other nodes. Despite the...
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Aligning IATE Criminal Terminology to SUMO
In this paper we apply an ontology matching system in the context of an information extraction project regarding criminal data. Our data comes from...
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Real-Time Traffic Light Optimization Using Simulation of Urban Mobility
Nowadays, there are various traffic-related issues as the number of vehicles are increasing rapidly. This increasing traffic gives rise to numerous...
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Exploiting Metonymy from Available Knowledge Resources
Metomymy is challenging for advanced natural language processing applications because one word or expression is used to refer to another implicit...
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Adaptive traffic light control using deep reinforcement learning technique
Smart city growth needs information and communication technology to increase urban sustainability but faces critical traffic congestion and vehicle...
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Libsignal: an open library for traffic signal control
This paper introduces a library for cross-simulator comparison of reinforcement learning models in traffic signal control tasks. This library is...
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Simulating Bluetooth virus propagation on the real map via infectious attenuation algorithm and discrete dynamical system
In recent years, mobile smart devices have gained popularity globally due to their convenience and efficiency. However, this popularity has also...
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Simulation Tools for Opportunistic Networks
In this chapter, we start with an introduction to network simulators and especially to discrete event simulators. We explain how they work and what...
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Simulating a Three-Lane Roundabout Using SUMO
Transportation issues have imposed major challenges in many countries around the world, especially in large urban areas. A great deal of such...
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Advancing VANET stability: enhanced cluster head selection with iTTM and weighted CRITIC
Vehicle ad hoc networks (VANETs) have garnered considerable attention for their potential to enhance road safety and facilitate advanced driver...
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Intelligent Traffic Congestion and Collision Avoidance Using Multi-agent System Based on Reinforcement Learning
The number of vehicles in Palestine has significantly increased over the past decade leading to significant traffic congestion in cities. The narrow...
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Decentralized Multi Agent Deep Reinforcement Q-Learning for Intelligent Traffic Controller
Recent development of deep reinforcement learning models has impacted many fields, especially decision based control systems. Urban traffic signal...
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Station Balancing System of a Bike Sharing System by Means of a Multi-agent System in Collaboration with the User’s Decision
On this work, we propose a balancing system for a bike sharing service, based on the cooperation of the user in exchange for rewards. This system is...