Grant: Discovery Grants Program - Individual
Toronto Metropolitan University
$146,000.00
Advancing Road Safety and Geometric Design for Autonomous and Connected Vehicles
EF 2024-25
Résumé
Autonomous and connected vehicles, called herein automated vehicles (AV) are expected to lead to significant benefits in safety, mobility, and sustainability. The technology is emerging around the world on both passenger and freight sides. One company in the US predicts that driverless trucks will be on interstate highways by 2027 and will lead to significant cost saving (55%). The technology is emerging around the world on both passenger and freight sides. Automated vehicles have already started to appear on the roads across the globe. The AV market is valued at $54 billion in 2019 and is projected to grow to $556 billion by 2026 (10-time growth). Clearly, as the market expands, transportation professionals and researchers must address an array of challenges before AV becomes a reality in the near future. The proposed research program addresses those impacts and builds upon the applicant's 25-year research experience on highway geometric design and intelligent transportation systems.
The long-term objective of the applicant's research is to develop innovative methods to achieve safe, mobile, and sustainable transportation systems for AV. The goal is to fully address both technical aspects of AV (vision for the environment and automated vehicle control) on all highway facilities. The specific short-term objectives of the proposed research program, which focuses on four types of highway facilities, are as follows:
1.Develop methods for AV operation at intersections (roundabouts and uncontrolled), including priority for emergency AV,
2.Develop methods for overtaking of AV on two-lane highways,
3.Develop AV speed models for all highways based on skid resistance which changes with the change in pavement surface conditions,
4.Develop methods for AV operation at special facilities (truck drayage/docking, work zones, and pedestrian crossings),
5.Validate the developed methods using simulation tools, and
6.Establish geometric design needs for AV for different highway facilities.
The proposed research will initiate unprecedented novel development of comprehensive methods for planning and control of AV on four types of highway facilities and the establishment of AV impacts on geometric design. Specifically, the scientific contributions include: (1) establishing trajectory data for roundabouts that are essential for AV modelling and simulation, (2) developing extended theory for planning AV movements on different types of highway facilities, (3) establishing speed-control model for AV based on skid resistance, and (4) quantifying AV impacts on highway geometric design. The developed tools will promote the implementation of AV which is expected to provide significant benefits in safety, mobility, and sustainability. Many HQP will be trained in the proposed program and will be able to take key leadership positions in academia and industry in such sectors as transportation, telecom and data management, and manufacturing.
Programme
Discovery Grants Program - Individual
Bénéficiaire
Emplacement
Ontario, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data
Tel que publié
Application id
RGPIN-2020-04667
Name nom
Easa, Said
Department département
Civil Engineering - Civil Engineering
Organization id
43
Institution établissement
Toronto Metropolitan University
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2024
Competition year année de concours
2020
Award amount
146000
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
1509
Committee name en
Civil, Industrial and Systems Engineering
Committee name fr
Génie civil, industriel et des systèmes
Area of application code
1207
Area of application group en
Advancement of knowledge
Area of application group fr
Avancement des connaissances
Area of application en
Information, computer and communication technologies
Area of application fr
Technologie de l'information, des ordinateurs et des réseaux de communications
Research subject code
1003
Research subject group en
Civil engineering
Research subject group fr
Génie civil
Research subject en
Transportation engineering
Research subject fr
Génie du transport
Field of research list names en
Not available
Field of research list names fr
Non disponible
Socioeconomic objective list names en
Not available
Socioeconomic objective list names fr
Non disponible
Application title
Advancing Road Safety and Geometric Design for Autonomous and Connected Vehicles
Keywords
autonomous and connected vehicles; safety, mobility, and sustainability; highway geometric design; mathematical optimization; vehicle dynamics; vehicle speed planning; remote sensing; human factors; simulation and testing
Application summary
Autonomous and connected vehicles, called herein automated vehicles (AV) are expected to lead to significant benefits in safety, mobility, and sustainability. The technology is emerging around the world on both passenger and freight sides. One company in the US predicts that driverless trucks will be on interstate highways by 2027 and will lead to significant cost saving (55%). The technology is emerging around the world on both passenger and freight sides. Automated vehicles have already started to appear on the roads across the globe. The AV market is valued at $54 billion in 2019 and is projected to grow to $556 billion by 2026 (10-time growth). Clearly, as the market expands, transportation professionals and researchers must address an array of challenges before AV becomes a reality in the near future. The proposed research program addresses those impacts and builds upon the applicant's 25-year research experience on highway geometric design and intelligent transportation systems.
The long-term objective of the applicant's research is to develop innovative methods to achieve safe, mobile, and sustainable transportation systems for AV. The goal is to fully address both technical aspects of AV (vision for the environment and automated vehicle control) on all highway facilities. The specific short-term objectives of the proposed research program, which focuses on four types of highway facilities, are as follows:
1.Develop methods for AV operation at intersections (roundabouts and uncontrolled), including priority for emergency AV,
2.Develop methods for overtaking of AV on two-lane highways,
3.Develop AV speed models for all highways based on skid resistance which changes with the change in pavement surface conditions,
4.Develop methods for AV operation at special facilities (truck drayage/docking, work zones, and pedestrian crossings),
5.Validate the developed methods using simulation tools, and
6.Establish geometric design needs for AV for different highway facilities.
The proposed research will initiate unprecedented novel development of comprehensive methods for planning and control of AV on four types of highway facilities and the establishment of AV impacts on geometric design. Specifically, the scientific contributions include: (1) establishing trajectory data for roundabouts that are essential for AV modelling and simulation, (2) developing extended theory for planning AV movements on different types of highway facilities, (3) establishing speed-control model for AV based on skid resistance, and (4) quantifying AV impacts on highway geometric design. The developed tools will promote the implementation of AV which is expected to provide significant benefits in safety, mobility, and sustainability. Many HQP will be trained in the proposed program and will be able to take key leadership positions in academia and industry in such sectors as transportation, telecom and data management, and manufacturing.