RinSim is a Java-based discrete-event, multi-agent simulation library designed for logistics research and development. It enables users to model and evaluate dynamic vehicle routing, ride-sharing, pickup and delivery, and electric vehicle operations within realistic road networks. With built-in agents, customizable behaviors, and event-based scheduling, RinSim supports scalable experiments, visualization of results, and performance benchmarking to optimize routing strategies in academic and industrial settings.
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#logistics simulation
#multi-agent system
#dynamic vehicle routing
#electric vehicle management
#stochastic modeling
#Real-time Visualization
#pickup and delivery optimization
#custom algorithms integration
#discrete-event simulation
#battery constraint modeling
#transportation metrics
#scalable solutions
#ride-sharing strategies
#event scheduling
#fleet performance analysis
#optimization metrics
#network modeling
#mobile strategy testing
#Academic Research Tools
#visual analysis of simulations
...
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RinSim
RinSim is a Java-based discrete-event, multi-agent simulation library designed for logistics research and development. It enables users to model and evaluate dynamic vehicle routing, ride-sharing, pickup and delivery, and electric vehicle operations within realistic road networks. With built-in agents, customizable behaviors, and event-based scheduling, RinSim supports scalable experiments, visualization of results, and performance benchmarking to optimize routing strategies in academic and industrial settings.
3D Content
Model Services
Development Environment
Recommendation Systems
#logistics simulation
#multi-agent system
#dynamic vehicle routing
#electric vehicle management
#stochastic modeling
#Real-time Visualization
#pickup and delivery optimization
#custom algorithms integration
#discrete-event simulation
#battery constraint modeling
#transportation metrics
#scalable solutions
#ride-sharing strategies
#event scheduling
#fleet performance analysis
#optimization metrics
#network modeling
#mobile strategy testing
#Academic Research Tools
#visual analysis of simulations
...
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What is RinSim?
RinSim provides a modular simulation environment focused on modeling dynamic logistics scenarios with multiple autonomous agents. Users can define road networks via graph structures, configure fleets of vehicles including electric models with battery constraints, and simulate stochastic request arrivals for pickup and delivery tasks. The discrete-event architecture ensures precise timing and event management, while built-in routing algorithms and customizable agent behaviors allow extensive experimentation. RinSim supports output metrics such as travel time, energy consumption, and service level, and includes visualization modules for real-time and post-simulation analysis. Its extensible design enables integration of custom algorithms, scaling up to large fleets, and reproducible research workflows essential for academia and industry optimization of mobility strategies.
Who will use RinSim?
- Logistics researchers
- Simulation engineers
- Developers of ride-sharing platforms
- Academics teaching multi-agent systems
How to use the RinSim?
- Step1: Install Java 8 or higher and Maven on your development machine
- Step2: Add RinSim dependency to your Maven project or download the standalone JAR
- Step3: Define a road network graph and configure vehicle fleets in your Java code
- Step4: Implement or customize agent behaviors and routing algorithms
- Step5: Configure dynamic request generators for pickup and delivery tasks
- Step6: Run the simulation, monitor outputs, and visualize results in real time
Platform
- mac
- windows
- linux
RinSim's Core Features & Benefits
The Core Features
- Discrete-event multi-agent simulation engine
- Dynamic vehicle routing and pickup/delivery modeling
- Support for electric vehicle battery constraints and charging
- Built-in graph-based road network management
- Customizable agent behaviors and routing algorithms
- Real-time and post-simulation visualization
- Extensible plugin architecture for custom modules
The Benefits
- Test logistics and ride-sharing strategies before deployment
- Reproducible experiments with precise event scheduling
- Scalable to large fleets and complex scenarios
- Flexible integration of custom algorithms
- Detailed performance metrics for optimization
RinSim's Main Use Cases & Applications
- Academic research in dynamic vehicle routing
- Development of ride-sharing and taxi dispatch systems
- Optimization of electric vehicle logistics
- Teaching multi-agent simulation concepts
- Benchmarking algorithm performance in logistics
RinSim's Pros & Cons
The Pros
Open source with active GitHub repository
Supports decentralized and centralized algorithms for diverse logistics problems
Modular and configurable with strong emphasis on scientific rigor and quality
Supports distributed computing for large factorial experiments
Well documented and tested
The Cons
Limited to Java platform requiring programming knowledge
No information on commercial support or pricing beyond free access
No mobile or web application presence
Not a fully autonomous AI agent but a simulation framework
FAQs of RinSim
RinSim Company Information
RinSim Reviews
5/5
RinSim's Main Competitors and alternatives?
- MATSim
- SUMO
- AnyLogic
- GAMA
- Mesa
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