COVID-19 Transportation Data Dashboard: White Paper #5

COVID-19 Transportation Data Dashboard and White Papers The COVID-19 pandemic and ensuing social distancing orders have had dramatic impacts on the use of every mode of transportation. C2SMART researchers have developed an interactive data dashboard that investigates changes in mobility patterns and travel trends as the crisis evolves. Through this dashboard, policymakers and researchers can examine the…

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Join the C2SMART Team!

Join Our Team! Excited about transportation and smart cities? C2SMART is hiring for the following positions: . Transportation & Smart Cities Research Associate (full-time) This candidate will lead/oversee the successful execution of tasks and deliverables on a diverse array of projects while supporting Center faculty, staff, and student researchers. Student Positions . Transportation & Smart…

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New Student Voices in Smart Cities Blog Series

Student Voices Blog Series C2SMART is launching a new initiative called Student Voices in Smart Cities, a student-authored blog series featuring opinion or research pieces on transportation and smart cities, written and researched by C2SMART students. All C2SMART students from the research consortium are eligible to submit a post for review. Email c2smart@nyu.edu to submit…

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RFI: Development of NYSDOT RFP for Statewide Mobility Services Program

New York State DOT Request for Proposals (RFP) for a Statewide Mobility Services Program As part of the New York State Department of Transportation (NYSDOT) project on a Statewide Mobility Services Program Strategic Procurement Planning led by Professor Joseph Chow of NYU, Deputy Director of C2SMART, NYSDOT has developed a Request for Information (RFI) for…

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Sparkman, The Smart Parking App: Optimizing Parking on Campuses

Sparkman, The Smart Parking App: Optimizing Parking on College Campuses Every vehicle trip starts and ends with parking, and shortages or misallocations of parking spaces not only lead to lost time, money and productivity but also to congestion, accidents, environmental impacts, and other surprising spillover effects. Universities face particularly complex parking problems due to the…

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Transportation Transformation: How Autonomous Mobility Will Fuel New Value Chains

Evangelos Simoudis, Transportation Transformation: How Autonomous Mobility Will Fuel New Value Chains C2SMART hosted a fireside-chat-style Q and A with Evangelos Simoudis, founder and managing director of Synapse Partners, a venture capital firm investing in startups developing enterprise applications that exploit big data using AI. Evangelos discussed his new book, Transportation Transformation: How Autonomous Mobility…

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Optimizing a Redesigned Bus Network using Open-Source Simulation

Joseph Chow, Ziyi Ma, Optimizing a Redesigned Bus Network using Open-Source Simulation Despite the emergence of many new mobility options in cities around the world, fixed-route transit, such as bus travel, is still the most efficient means of mass transport. Since 2007, travel speed reductions and increased congestion due to greater mobility options competing for…

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Survey: Mobility for All during the COVID-19 Pandemic Recovery

Survey: Transportation & Mobility for All during the COVID-19 Pandemic Recovery The COVID-19 pandemic has had a significant impact in all areas of life, including transportation and mobility. Researchers at NYU’s C2SMART Center have been studying how transportation/mobility options and patterns have changed and continue to change as the situation evolves. This pandemic has disproportionately affected the…

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Developing Resilient Mechanisms to Cyber Security Threats in CAVs

Quanyan Zhu, Rae Zimmerman, Secure Strategies for Vehicular Ad Hoc Networks in CAV A Vehicular Ad hoc Network (VANET) is a recent innovation in information and communication technologies to allow communications among vehicles and enable a connected and autonomous transportation system. However, its security and resilience are of serious concern. This talk aims to give…

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Using Queuing Models to Design CATS

Li Jin, Using Queuing Models to Design Connected and Autonomous Transportation Systems In this webinar, Professor Li Jin discusses a class of design problems related to connected and autonomous transportation systems (CATS) using queuing models. Classical queuing models have been extensively used for conventional transportation systems. However, their application in CATS has not been well…

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