A5066338414- Transportation Planning and Optimization
- Transportation and Mobility Innovations
- Urban Transport and Accessibility
- Traffic control and management
- Sharing Economy and Platforms
- Simulation Techniques and Applications
- Traffic Prediction and Management Techniques
- Public-Private Partnership Projects
- Green IT and Sustainability
- Mediterranean and Iberian flora and fauna
- Stochastic processes and financial applications
- Botany, Ecology, and Taxonomy Studies
- Ethnobotanical and Medicinal Plants Studies
- Energy, Environment, and Transportation Policies
- Merger and Competition Analysis
- Legal Issues in South Africa
- Banking stability, regulation, efficiency
- Fiscal Policy and Economic Growth
University of California, Berkeley
2018-2024
Lawrence Berkeley National Laboratory
2024
Institute for Security Studies
2022
Center for Information Technology Research in the Interest of Society
2020
Uber AI (United States)
2020
Credit-based congestion pricing (CBCP) has emerged as a mechanism to alleviate the social inequity concerns of road - promising strategy for traffic mitigation by providing low-income users with travel credits offset some their toll payments. While CBCP offers immense potential addressing issues that hamper practical viability pricing, deployment in practice is nascent, and efficacy optimal design schemes have yet be formalized. In this work, we study achieve particular societal objectives...
The current trend toward urbanization and adoption of flexible innovative mobility technologies will have complex difficult-to-predict effects on urban transportation systems. Comprehensive methodological frameworks that account for the increasingly uncertain future state landscape do not yet exist. Furthermore, few approaches enabled massive ingestion data in planning tools capable offering flexibility scenario-based design. This article introduces Berkeley Integrated System Transportation...
The rise of congestion across the United States and increasing adoption mobile routing services have enabled drivers with ability to find fastest routes available in urban road networks. Arterial roads side streets originally designed for local traffic are impacted by influx selfishly routed drivers, garnering much recent media attention civic debate. Classic flow-based game theoretic models provide framework simulating behavior non-routed on a network. We developed an interactive policy...
Credit-based congestion pricing (CBCP) has emerged as a mechanism to alleviate the social inequity concerns of road — promising strategy for traffic mitigation by providing low-income users with travel credits offset some their toll payments. While CBCP offers immense potential addressing issues that hamper practical viability pricing, deployment in practice is nascent, and efficacy optimal design schemes have yet be formalized.In this work, we study achieve particular societal objectives...
Author(s): Shaheen, Susan, PhD; Lazarus, Jessica; Caicedo, Juan; Bayen, Alexandre, PhD | Abstract: On-demand mobility services including transportation network companies (also known as ridesourcing and ridehailing) like Lyft Uber are changing the way that people travel by providing dynamic can supplement public transit personal-vehicle use. However, TNC have been found to contribute increasing vehicle mileage, traffic congestion, greenhouse gas emissions. Pooling rides ⎯ sharing a multiple...
This article introduces BISTRO, a new open source transportation planning decision support system that uses an agent-based simulation and optimization approach to anticipate develop adaptive plans for possible technological disruptions growth scenarios. The framework was evaluated in the context of machine learning competition hosted within Uber Technologies, Inc., which over 400 engineers data scientists participated. For purposes this competition, benchmark model, based on city Sioux...
Credit-based congestion pricing (CBCP) has emerged as a mechanism to alleviate the social inequity concerns of road - promising strategy for traffic mitigation by providing low-income users with travel credits offset some their toll payments. While CBCP offers immense potential addressing issues that hamper practical viability pricing, deployment in practice is nascent, and efficacy optimal design schemes have yet be formalized. In this work, we study achieve particular societal objectives...
Author(s): Lazarus, Jessica; Bauer, Gordon, PhD; Greenblatt, Jeffery, Shaheen, Susan, PhD | Abstract: This research investigates strategies to improve the mobility of low-income travelers by incentivizing use electric SAVs (SAEVs) and public transit. We employ two agent-based simulation engines, an activity-based travel demand model San Francisco Bay Area, vehicle movement data from Area Los Angeles Basin emergent behavior commute trips in response subsidies for TNCs Sensitivity analysis was...