Beth‐anne Schuelke‐leech
Biographic Data
| ID | 3893775 |
|---|---|
| NAME | Beth‐anne Schuelke‐leech |
| GIVEN NAMES | Beth‐anne |
| FAMILY NAME | Schuelke‐leech |
| SIGNATURE | LEECH B A S |
| AFFILIATIONS | University of Windsor |
| ORCID | 0000-0003-0503-830X |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 2 |
| AUTHOR COUNT | 3 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2018 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 1 |
Enhancing public transportation sustainability
This study presents a joint optimization model for optimizing the scheduling and charging of electric buses in urban transit systems, integrating fleet size determination, trip scheduling, and charging infrastructure planning. The model is solved using a genetic algorithm and validated through constrained particle swarm optimization . Results demonstrate that by efficiently incorporating time-of-use pricing , optimized partial charging, and dynam…
Regulating Autonomy
Self-driving cars (also known as driverless cars, autonomous vehicles, and highly automated vehicles [HAVs]) will change the regulatory, political, and ethical frameworks surrounding motor vehicles. At the highest levels of automation, HAVs are operated by independent machine agents, making decisions without the direct intervention of humans. The current transportation system assumes human intervention though, including legal and moral responsibi…
Innovation in the American Era of Industrial Preeminence
It is commonly accepted that innovation and economic prosperity after World War II were really spurred by the tremendous benefits of public investments. While public funding was crucial, a missing component of the historical analysis is a synthesis of the effects of these investments with changes in financial regulations enacted during the Great Depression, specific economic and employment policies, and the infusion of intellectual capital from s…
Regulating Autonomy
Self-driving cars (also known as driverless cars, autonomous vehicles, and highly automated vehicles [HAVs]) will change the regulatory, political, and ethical frameworks surrounding motor vehicles. At the highest levels of automation, HAVs are operated by independent machine agents, making decisions without the direct intervention of humans. The current transportation system assumes human intervention though, including legal and moral responsibi…
Innovation in the American Era of Industrial Preeminence
It is commonly accepted that innovation and economic prosperity after World War II were really spurred by the tremendous benefits of public investments. While public funding was crucial, a missing component of the historical analysis is a synthesis of the effects of these investments with changes in financial regulations enacted during the Great Depression, specific economic and employment policies, and the infusion of intellectual capital from s…
Innovation in the American Era of Industrial Preeminence
It is commonly accepted that innovation and economic prosperity after World War II were really spurred by the tremendous benefits of public investments. While public funding was crucial, a missing component of the historical analysis is a synthesis of the effects of these investments with changes in financial regulations enacted during the Great Depression, specific economic and employment policies, and the infusion of intellectual capital from s…
Regulating Autonomy
Self-driving cars (also known as driverless cars, autonomous vehicles, and highly automated vehicles [HAVs]) will change the regulatory, political, and ethical frameworks surrounding motor vehicles. At the highest levels of automation, HAVs are operated by independent machine agents, making decisions without the direct intervention of humans. The current transportation system assumes human intervention though, including legal and moral responsibi…
Enhancing public transportation sustainability
This study presents a joint optimization model for optimizing the scheduling and charging of electric buses in urban transit systems, integrating fleet size determination, trip scheduling, and charging infrastructure planning. The model is solved using a genetic algorithm and validated through constrained particle swarm optimization . Results demonstrate that by efficiently incorporating time-of-use pricing , optimized partial charging, and dynam…
Economics (2 works) · Engineering (2 works) · Law (2 works) · Political science (2 works) · Public policy (2 works) · Automation (1 works) · Automotive Engineering (1 works) · Autonomy (1 works) · Business (1 works) · Capital (architecture (1 works)