Grant: Discovery Grants Program - Individual
University of Ontario Institute of Technology
$23,000.00
Toward Seamless coordination of cyber physical resources
FY 2022-23
Summary
This research will contribute to the integration of novel Information and Communications Technologies (ICT) to improve the serviceability of municipal infrastructure of Canadian cities, with a focus on mobility and transportation services. It is estimated that the global market for Mobility- as-a-Service (MaaS) is worth $5.4 trillion a year [1]. By 2050, the distance travelled in urban journeys is expected to triple in number which will result in doubling average time drivers spend languishing in traffic jams. Intelligent Transportation Systems (ITS) includes a set of smart mobility services over multi-modes such as carpooling, public transit, car rental, and bike sharing. These services can be customized to each traveller's real-time context. Understanding interactions, and inter-relationships among mobility services is a challenging task as they involve business processes distributed among various stakeholders; including federal, provincial and municipal government agencies, private transportation service providers, individual travellers/ drivers, private businesses and media outlets.This research studies, designs and creates novel computational artifacts to enable collaboration and coordination among stakeholders. The proposed research will answer the following questions: Given a particular service a group of stakeholders would like to provision, how can schemes of integration be automatically inferred and defined to guide the seamless selection and execution of stakeholders' capabilities, services and resources? What coordination schemes are required to have mobility services inter-operate (e.g., what are the required standards to support data exchange)? Answers to this question guide dynamic run-time aspects of application delivery including adaptively processing large volumes of real-time big data capturing urban dynamics. The platform builds on the strength of the ONE-ITS platform and services designed will be available via open API for community members to use and enhance. The multidisciplinary nature of this research will provide students with opportunities to explore and create new content in urban informatics, cloud computing, Internet of Things and Services, and Big Data.
Program
Discovery Grants Program - Individual
Location
Ontario, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data
As published
Application id
RGPIN-2018-06460
Name nom
El-Darieby, Mohamed
Department département
Engineering, Faculty of - Engineering, Faculty of
Organization id
19222
Institution établissement
University of Ontario Institute of Technology
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2022
Competition year année de concours
2018
Award amount
23000
Program id
RGPIN
Program name en
Discovery Grants Program - Individual
Program name fr
Programme de subventions à la découverte - individuelles
Group en
DISCOVERY RESEARCH
Group fr
RECHERCHE AXÉE SUR LA DÉCOUVERTE
Committee code
1507
Committee name en
Computer Science
Committee name fr
Sciences informatiques
Area of application code
802
Area of application group en
Information and communication services
Area of application group fr
Services d'information et de télécommunications
Area of application en
Information systems and technology
Area of application fr
Systèmes d'information et technologie de l'information
Research subject code
2700
Research subject group en
Information technology
Research subject group fr
Technologie de l'information
Research subject en
Information technology
Research subject fr
Technologie de l'information
Installment
inst:5
Partie
1
Nb partie
6
Application title
Toward Seamless coordination of cyber physical resources
Application summary
This research will contribute to the integration of novel Information and Communications Technologies (ICT) to improve the serviceability of municipal infrastructure of Canadian cities, with a focus on mobility and transportation services. It is estimated that the global market for Mobility- as-a-Service (MaaS) is worth $5.4 trillion a year [1]. By 2050, the distance travelled in urban journeys is expected to triple in number which will result in doubling average time drivers spend languishing in traffic jams. Intelligent Transportation Systems (ITS) includes a set of smart mobility services over multi-modes such as carpooling, public transit, car rental, and bike sharing. These services can be customized to each traveller's real-time context. Understanding interactions, and inter-relationships among mobility services is a challenging task as they involve business processes distributed among various stakeholders; including federal, provincial and municipal government agencies, private transportation service providers, individual travellers/ drivers, private businesses and media outlets.This research studies, designs and creates novel computational artifacts to enable collaboration and coordination among stakeholders. The proposed research will answer the following questions: Given a particular service a group of stakeholders would like to provision, how can schemes of integration be automatically inferred and defined to guide the seamless selection and execution of stakeholders' capabilities, services and resources? What coordination schemes are required to have mobility services inter-operate (e.g., what are the required standards to support data exchange)? Answers to this question guide dynamic run-time aspects of application delivery including adaptively processing large volumes of real-time big data capturing urban dynamics. The platform builds on the strength of the ONE-ITS platform and services designed will be available via open API for community members to use and enhance. The multidisciplinary nature of this research will provide students with opportunities to explore and create new content in urban informatics, cloud computing, Internet of Things and Services, and Big Data.
