An Eco-Friendly Multimodal Route Guidance System for Urban Areas Using Multi-Agent Technology

The use and coordination of multiple modes travel efficiently, although beneficial, remains an overarching challenge for urban cities. This paper implements a distributed architecture eco-friendly transport guidance system by employing the agent-based paradigm. paradigm uses software agents to model represent complex infrastructure environments, including roads, buses, trolleybuses, metros, trams, bicycles, walking. exploits live traffic data (e.g., flow, density, CO2 emissions) collected from sources road sensors SCOOT) provide multimodal route recommendations travelers through dedicated application. Moreover, proposed empowers management authorities monitor flow conditions city in real-time web visualization. We exhibit advantages using different types versatile nature networks realize concept smart transportation. Commuters are supplied with routes that endeavor reduce times carbon footprint. A technical simulation was executed various parameters demonstrate scalability our architecture. Subsequently, two real user trials were carried out Nottingham (United Kingdom) Sofia (Bulgaria) show practicality ease information providing guidance. Our validation results effectiveness personalized inducing positive behavior change ability planning scale satisfy requirements diverse environments.