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Utah State University
1.
Runa, Ferdousy.
The Effect of Weather on Pedestrian Activity at Signalized Intersections in Utah.
Degree: MS, Civil and Environmental Engineering, 2020, Utah State University
URL: https://digitalcommons.usu.edu/etd/7973
► The weather has a significant influence on pedestrian activity. Profound knowledge and research can identify how weather variables impact and why people change their…
(more)
▼ The weather has a significant influence on pedestrian activity. Profound knowledge and research can identify
how weather variables impact and
why people change their travel patterns. This study aims to assess the relationship of weather (snowfalls, snow depth, precipitation, maximum and minimum temperature) with pedestrian activity at 49 signalized intersections in Cache County,
Utah. This study uses pedestrian actuation (push-button) data as a proxy for pedestrian activity and collects weather data from the National Oceanic and Atmosphere Administration (NOAA).
Using 15 months of daily time-series data, this study applied log-linear time series models in the analysis. To account for non-linear effects, categorical step-wise weather variables were used. The findings reveal most of the signals have significant effects on the weather on pedestrian activity. Snow depth, snowfalls, and the maximum temperature had the largest effects at most of the locations. Besides, very cold temperatures (< 10ºF) were negatively associated with pedestrian activity at some locations. Precipitation had a negative effect on walking levels, but at only a few signals. The relationship between weather and walking is non-linear rather than linear. Also, pedestrian activity is affected more by weather in urban areas compared to suburban areas. These findings have implications in multimodal transportation planning(winter maintenance, shade trees, etc.) and traffic signal operations.
Advisors/Committee Members: Patrick Singleton, Ziqi Song, Michelle Mekker, ;.
Subjects/Keywords: Pedestrian actuation; Weather; Traffic signal; ATSPM; Time series; Civil and Environmental Engineering; Engineering
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APA (6th Edition):
Runa, F. (2020). The Effect of Weather on Pedestrian Activity at Signalized Intersections in Utah. (Masters Thesis). Utah State University. Retrieved from https://digitalcommons.usu.edu/etd/7973
Chicago Manual of Style (16th Edition):
Runa, Ferdousy. “The Effect of Weather on Pedestrian Activity at Signalized Intersections in Utah.” 2020. Masters Thesis, Utah State University. Accessed April 13, 2021.
https://digitalcommons.usu.edu/etd/7973.
MLA Handbook (7th Edition):
Runa, Ferdousy. “The Effect of Weather on Pedestrian Activity at Signalized Intersections in Utah.” 2020. Web. 13 Apr 2021.
Vancouver:
Runa F. The Effect of Weather on Pedestrian Activity at Signalized Intersections in Utah. [Internet] [Masters thesis]. Utah State University; 2020. [cited 2021 Apr 13].
Available from: https://digitalcommons.usu.edu/etd/7973.
Council of Science Editors:
Runa F. The Effect of Weather on Pedestrian Activity at Signalized Intersections in Utah. [Masters Thesis]. Utah State University; 2020. Available from: https://digitalcommons.usu.edu/etd/7973

Utah State University
2.
He, Yi.
Cost-Effective Planning Strategies for Battery Electric Bus Systems.
Degree: PhD, Civil and Environmental Engineering, 2020, Utah State University
URL: https://digitalcommons.usu.edu/etd/7924
► In recent years, actions have been taken by countries around the world to create a more sustainable energy future. Electrifying transit buses is considered…
(more)
▼ In recent years, actions have been taken by countries around the world to create a more sustainable energy future. Electrifying transit buses is considered as a promising option to reduce emissions and increase sustainability of the transportation sector. However, there are still several barriers to the adoption of electric buses (e-buses). The barriers include, but are not limited to, the range limitations of e-buses, high up-front costs of e-buses, large capital expenses for charging infrastructure, and a lack of understanding regarding e-bus operation and management. This dissertation aims to overcome these barriers through the development of cost-effective planning strategies from the strategic and operational perspectives.
Fist, this dissertation investigates the strategic planning problem of battery electric bus (BEB) fast charging stations in a multimodal transportation network with the objective of minimizing the total e-bus system cost. Second, assuming the layout of the transit system and the deployment of charging infrastructure as given, this dissertation presents an optimization model to enhance the charging schedule of a fast charging BEB system. To consider the interaction between the system infrastructure design and the charging schedule of a BEB system, this study further develops two comprehensive planning strategies. Numerical analyses demonstrate that the proposed planning strategies can effectively reduce the cost of BEB implementation.
Advisors/Committee Members: Ziqi Song, Patrick Singleton, Marv Halling, ;.
Subjects/Keywords: Strategic planning; operational planning; battery electric bus systems; demand charge; Civil and Environmental Engineering
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❌
APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
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APA (6th Edition):
He, Y. (2020). Cost-Effective Planning Strategies for Battery Electric Bus Systems. (Doctoral Dissertation). Utah State University. Retrieved from https://digitalcommons.usu.edu/etd/7924
Chicago Manual of Style (16th Edition):
He, Yi. “Cost-Effective Planning Strategies for Battery Electric Bus Systems.” 2020. Doctoral Dissertation, Utah State University. Accessed April 13, 2021.
https://digitalcommons.usu.edu/etd/7924.
MLA Handbook (7th Edition):
He, Yi. “Cost-Effective Planning Strategies for Battery Electric Bus Systems.” 2020. Web. 13 Apr 2021.
Vancouver:
He Y. Cost-Effective Planning Strategies for Battery Electric Bus Systems. [Internet] [Doctoral dissertation]. Utah State University; 2020. [cited 2021 Apr 13].
Available from: https://digitalcommons.usu.edu/etd/7924.
Council of Science Editors:
He Y. Cost-Effective Planning Strategies for Battery Electric Bus Systems. [Doctoral Dissertation]. Utah State University; 2020. Available from: https://digitalcommons.usu.edu/etd/7924

Utah State University
3.
Rubaiat, Samia.
Exploring the Feasibility of Introducing Alternative Fuel Vehicles into Fleet.
Degree: MS, Civil and Environmental Engineering, 2020, Utah State University
URL: https://digitalcommons.usu.edu/etd/8002
► Transportation is one of the most significant contributing sectors to emissions and consequently air pollution in the United States. Many state and private fleet…
(more)
▼ Transportation is one of the most significant contributing sectors to emissions and consequently air pollution in the United States. Many
state and private fleet agencies have announced their visions of zero-emission fleet programs. Adopting alternative fuel vehicle (AFV) is a viable option for achieving this objective. AFVs offer lower emissions along with low operating and maintenance costs, and higher fuel economy. The advancement of technologies has provided several AFV options, such as hybrid electric vehicles (HEV), electric vehicles (EV), compressed natural gas vehicles (CNGV), and liquefied petroleum gas vehicles (LPGV). The main challenges in adopting AFVs are the high purchasing cost, lack of adequate infrastructure, and the uncertainty of future fuel cost.
This study aims to introducing AFVs in the fleet while minimizing the life-cycle cost by utilizing an optimization replacement model. To account for the uncertainty of the fuel prices, the rolling horizon (RH) approach has been adopted for the optimization model. This RH approach considers the updated parameters and data while adjusting the vehicle replacement decisions. This study found purchasing price, variations of fuel price and daily activity (miles driven per day) of vehicles as the most significant factors for the vehicle replacement decisions. The study also showed that RH model can provide more cost-efficient fleet composition decisions compared to other models currently being used.
Advisors/Committee Members: Ziqi Song, Patrick Singleton, Haitao Wang, ;.
Subjects/Keywords: alternative fuel vehicle; fleet replacement; electric vehicle; Civil and Environmental Engineering; Engineering; Transportation Engineering
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❌
APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Rubaiat, S. (2020). Exploring the Feasibility of Introducing Alternative Fuel Vehicles into Fleet. (Masters Thesis). Utah State University. Retrieved from https://digitalcommons.usu.edu/etd/8002
Chicago Manual of Style (16th Edition):
Rubaiat, Samia. “Exploring the Feasibility of Introducing Alternative Fuel Vehicles into Fleet.” 2020. Masters Thesis, Utah State University. Accessed April 13, 2021.
https://digitalcommons.usu.edu/etd/8002.
MLA Handbook (7th Edition):
Rubaiat, Samia. “Exploring the Feasibility of Introducing Alternative Fuel Vehicles into Fleet.” 2020. Web. 13 Apr 2021.
Vancouver:
Rubaiat S. Exploring the Feasibility of Introducing Alternative Fuel Vehicles into Fleet. [Internet] [Masters thesis]. Utah State University; 2020. [cited 2021 Apr 13].
Available from: https://digitalcommons.usu.edu/etd/8002.
Council of Science Editors:
Rubaiat S. Exploring the Feasibility of Introducing Alternative Fuel Vehicles into Fleet. [Masters Thesis]. Utah State University; 2020. Available from: https://digitalcommons.usu.edu/etd/8002

Utah State University
4.
Liu, Zhaocai.
Strategic Infrastructure Planning for Autonomous Vehicles.
Degree: PhD, Civil and Environmental Engineering, 2020, Utah State University
URL: https://digitalcommons.usu.edu/etd/7734
► Compared with conventional human-driven vehicles (HVs), AVs have various potential benefits, such as increasing road capacity and lowering vehicular fuel consumption and emissions. Road…
(more)
▼ Compared with conventional human-driven vehicles (HVs), AVs have various potential benefits, such as increasing road capacity and lowering vehicular fuel consumption and emissions. Road infrastructure management, adaptation, and upgrade plays a key role in promoting the adoption and benefit realization of AVs.This dissertation investigated several strategic infrastructure planning problems for AVs. First, it studied the potential impact of AVs on the congestion patterns of transportation networks. Second, it investigated the strategic planning problem for a new form of managed lanes for autonomous vehicles, designated as autonomous-vehicle/toll lanes, which are freely accessible to autonomous vehicles while allowing human-driven vehicles to utilize the lanes by paying a toll.This new type of managed lanes has the potential of increasing traffic capacity and fully utilizing the traffic capacity by selling redundant road capacity to HVs. Last, this dissertation studied the strategic infrastructure planning problem for an infrastructure-enabled autonomous driving system. The system combines vehicles and infrastructure in the realization of autonomous driving. Equipped with roadside sensor and control systems, a regular road can be upgraded into an automated road providing autonomous driving service to vehicles. Vehicles only need to carry minimum required on-board devices to enable their autonomous driving on an automated road. The costs of vehicles can thus be significantly reduced.
Advisors/Committee Members: Patrick Singleton, Michelle Mekker, Haitao Meng, ;.
Subjects/Keywords: Autonomous vehicles; Mixed traffic; Traffic assignment; User equilibrium; Dedicated autonomous vehicles lanes; Autonomous vehicle/toll lanes; Robust optimization; Strategic planning; Infrastructure-enabled autonomy; Congestion pricing; Civil and Environmental Engineering
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Record Details
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❌
APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Liu, Z. (2020). Strategic Infrastructure Planning for Autonomous Vehicles. (Doctoral Dissertation). Utah State University. Retrieved from https://digitalcommons.usu.edu/etd/7734
Chicago Manual of Style (16th Edition):
Liu, Zhaocai. “Strategic Infrastructure Planning for Autonomous Vehicles.” 2020. Doctoral Dissertation, Utah State University. Accessed April 13, 2021.
https://digitalcommons.usu.edu/etd/7734.
MLA Handbook (7th Edition):
Liu, Zhaocai. “Strategic Infrastructure Planning for Autonomous Vehicles.” 2020. Web. 13 Apr 2021.
Vancouver:
Liu Z. Strategic Infrastructure Planning for Autonomous Vehicles. [Internet] [Doctoral dissertation]. Utah State University; 2020. [cited 2021 Apr 13].
Available from: https://digitalcommons.usu.edu/etd/7734.
Council of Science Editors:
Liu Z. Strategic Infrastructure Planning for Autonomous Vehicles. [Doctoral Dissertation]. Utah State University; 2020. Available from: https://digitalcommons.usu.edu/etd/7734
.