Browsing by Author "Wang, Qichao"
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- Game-Aided Education for Transportation Engineering: Design, Development, and AssessmentWang, Qichao (Virginia Tech, 2017-05-04)Transportation engineering is a wide area that covers different topics including traffic planning, highway design, pavement design, traffic safety, and traffic control. Certain concepts in those topics are challenging and are hard to understand based on textbooks and lectures. In this work, we developed five web games targeting the five topics in transportation engineering education to improve students’ understanding of those hard concepts. The games are hosted in a website server. Students can play these games online after register and login. The server stores the users’ information and their gameplay data. We conducted a Before-and-After study to test the effectiveness of the games in terms of improving the learning outcomes of the students. The results showed that the games could increase the students’ understanding of hard concepts significantly. The developed games can be used in transportation education. This game framework can serve as a reference for other education game developers. We envision that more educational games will be developed by transportation and education communities in the recent future. There will be more than one game for the same topic. We need an approach to select games for different students group. We proposed a gravity model for evaluating the engagement of the students for the educational games. We found that different games have different properties in terms of attracting students’ engagement. The proposed model can be used in the future for selecting educational games for specific students group.
- Street Traffic Signal Optimal Control for NEMA ControllersWang, Qichao (Virginia Tech, 2019-06-28)This dissertation aims to reduce urban traffic congestion with street traffic signal control. The traffic signal controllers in the U.S. follow the National Electrical Manufacturing Association Standards (NEMA Standards). In a NEMA controller, the control parameters for a coordinated control are cycle, green splits, and offset. This dissertation proposed a virtual phase-link concept and developed a macroscopic model to describe the dynamics of a traffic network. The coordinated optimal splits control problem was solved using model predictive control. The outputs of the solution are the green splits that can be used in NEMA controllers. I compared the proposed method with a state-of-the-practice signal timing software under coordinated-actuated control settings. It was found that the proposed method significantly outperformed the benchmarking method. I compared the proposed NEMA-based virtual phase-link model and a Max Pressure controller model using Vissim. It was found that the virtual phase-link method outperformed two control strategies and performed close, but not as good as, the Max Pressure control strategy. The disadvantage of the virtual phase-link method stemmed from the waste of green time during a fixed control cycle length and the delay which comes from the slowing down of platoon during a road link to allow vehicles to switch lanes. Compared to the Max Pressure control strategy, the virtual phase-link method can be implemented by any traffic controller that follows the NEMA standards. The real-time requirement of the virtual phase-link method is not as strict as the Max Pressure control strategy. I introduced the offsets optimization into the virtual phase-link method. I modeled the traffic arrival pattern based on the optimization results from the virtual phase-link control method. I then derived a phase delay function based on the traffic arrival pattern. The phase delay function is a function of the offset between two consecutive intersections. This phase delay function was then used for offsets optimization along an arterial. I tested the offsets optimization method against a base case using microscopic simulations. It was found that the proposed offset optimization method can significantly reduce vehicle delays.