Smart-agent system for flexible, personalised transport service

The Journal of Engineering

Godwill Vegah¹  Bamidele Adebisi²  Usman Wajid³ 

[1] Adaptive E-Learn Systems (ADES), Innospace, Manchester Metropolitan University, Manchester, UK;Electrical and Electronics Engineering Department, Manchester Metropolitan University, Manchester, UK;Information Catalyst, Manchester, UK

关键词: multiple-urban-transport providers;    adaptive-routing plans;    Internet of Things;    CO2;    multiple-provider-resource management;    personalised-transport-resource requirements;    urban-transport resource management;    flexible personalised transport service;    urban transport sector;    collaboration strategy;    urban-transport sustainability;    provider-commuter service plans;    cost-effective modes;    carbon emission footprint minimization;    green commuting;    smart-urban-transport agent system;    SAPS architecture;    intelligent agent-support algorithms;    transport services providers;    personalised commuting services;    eco-friendly urban-mobility services;   

DOI  :  10.1049/joe.2016.0284

学科分类：工程和技术（综合）

来源: IET

【 摘 要 】

Various studies are on-going, for smart-technology and the Internet of things, on a range of issues, to optimist services in the urban transport sector. A key challenge in urban-transport sustainability is shifting commuting transport demands to cost-effective modes, given the capacity of transport operators in cities are usually under pressure; hence, the need for innovative approaches. This research focus on smart-agent system, for flexible, personalised transport service (SAPS), addressing on-time access and multiple-provider-resource management, for personalise commuting services; and to minimise carbon emission footprints. It applies intelligent agent-support algorithms in managing urban-transport resources. SAPS architecture utilises intelligent agents for collaboration strategies in negotiating personalised-transport-resource requirements, with multiple-urban-transport providers. On the basis of commuter requirements, which are updatable in real time, the system devises adaptive-routing plans, formalising provider–commuter service plans, between commuters and transport services providers; hence, delivering customisable urban-transport services. Results and functional prototype of the smart-urban-transport agent system demonstrates effective personalised urban-transport services for ‘green commuting’. The approach optimises urban-transport services for commuters and providers; significantly cuts down CO2 emission footprints, thus providing eco-friendly urban-mobility services and improving management of commuting infrastructure.

【 授权许可】

CC BY