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CTECH Final Reports
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Assessing the health and environmental benefits associated with changes in transportation activities in near-road communities using low-cost sensors
Chavez, Mayra C.; Williams, Evan; Cheu, Ruey L.; Li, Wen-Whai (2022-05)On-road measurements of four pollutants (PM2.5, PM10, NO2, and O3) were continuously recorded by three U.S. EPA-certified FEM air pollution monitoring devices installed inside a vehicle traveling repeatedly on the same ... -
Assessing the health impact of proposed congestion pricing plan for downtown San Francisco
Wu, Kanglong; Hou, Zenghao; Zhang, Michael (2022-03-20)Congestion pricing (CP) is seen as a viable solution to urban traffic congestion, but its impact on public health also deserves to be evaluated before implementation. In this study, we assessed several congestion pricing ... -
Analysisoftheimpactofpavementsurface mixtureontrafficnoiseandrelated public health
Lu, Qing; Li, Mingyang; Alharthai, Mohammad; Uddin, Shihab (2022-06-30)Road traffic noise is a harmful environmental pollutant that affects public health. Reducing the tire-pavement noise by appropriate design of a sustainable pavement may reduce the road traffic noise. This study developed ... -
Sustainable and Healthy Communities through Integrating Mobility Simulations in the Urban Design Process
Dogan, Timur; Samaranayake, Samitha (2022-01-27)Rapid urbanization and new global construction estimated to be 250x NYC by 2050 is increasing traffic congestion, pollution, and related health threats. Thus, it is imperative that we develop new modeling capabilities that ... -
Assess the Mobility and Health Impact of COVID-19 on Diverse Communities
Darr, Justin; Zhang, Michael (2021-12-14)The COVID-19 pandemic has significantly impacted the lives of communities in many dimensions. In this research, mobility data is collected for before and during the pandemic to assess how transportation, a critical service ... -
Design Autonomous Vehicle Behaviors in Heterogeneous Traffic Flow
Li, Jia; Chen, Di; Zhang, Michael (2022-03-31)While much attention was paid to the interactions of human-driven and automated vehicles at the microscopic level in recent years, the understanding of the macroscopic properties of mixed autonomy traffic flow still remains ... -
Improving Security and User Privacy in Learning-Based Traffic Signal Controllers (TSC)
Haydari, Ammar; Zhang, Michael Z.; Chuah, Chen-Nee (2022-02-28)The 21st century of transportation systems leverages intelligent learning agents and data-centric approaches to analyze information gathered with sensing (both vehicles and roadsides) or shared by users to improve ... -
Development of Framework for Identifying Mobility Desert
Zhang, Yu; Chen, Peng; Guo, Yujie (2021-02-16)Providing all means of travel facilitates people’s access to jobs, healthcare, critical activities, and other services. To enable equal multi-modal mobility services to the public, it is important to evaluate equity in ... -
An Agent-based Travel and Charging Behavior Model for Forecasting High-resolution Spatio-temporal Battery Electric Vehicle Charging Demand
Sophia Liu, Yuechen; Tayarani, Mohammad; Gao, H. Oliver (2021-08-20)The expansion of the battery electric vehicle (BEV) market requires considerable changes in the supply of electricity to fulfill the charging demand. To this end, understanding the spatio-temporal distribution of BEV ... -
The Impact of Mobility on the Spread of Infectious Diseases to and from High Risk Environments
Luo, Qi; Gee, Marissa; Piccoli, Benedetto; Work, Daniel; Samaranayake, Samitha (2022-01-31)Transportation flows play a critical role in the propagation of infectious diseases. Mitigating the spread of such diseases requires understanding this dependency and building epidemiological models that explicitly account ...