Sparkman: A Smart Parking Management Tool

Sparkman: A Smart Parking Management Tool

Sparkman: A Smart Parking Management Tool for University Campuses Overview Every vehicle trip starts and ends with parking, making parking facilities the main components of transportation infrastructure. Universities face particularly complex parking problems due to the wide variety of trip types, users, and facilities they serve. Every university has a parking department responsible for the…

CIDNY Task 2 – Develop a Multi-agency/multi-modal Construction Management Software Tool to Enhance Coordination of Construction Projects City-wide during Planning and Operation Phases

CIDNY Task 2 – Develop a Multi-agency/multi-modal Construction Management Software Tool to Enhance Coordination of Construction Projects City-wide during Planning and Operation Phases Overview The main objective of this study is the assessment of the Construction Impact Analysis (CIA) and Work Zone Impact and Strategy Estimator (WISE) tools, and determining the feasibility of their customization…

Quantifying Uncertainty and Distributed Adaptive Control for Unanticipated Traffic Patterns as a Result of Major Natural and Man-made Disruptions

Quantifying Uncertainty and Distributed Adaptive Control for Unanticipated Traffic Patterns as a Result of Major Natural and Man-made Disruptions Overview Non-recurring traffic congestion, in the form of traffic incidents) accounts for over 50% of day-to-day traffic delays. We are also seeing an increasing frequency of both major traffic disruptions, both anticipated (e.g., hurricanes) and no-notice…

MATSim bus network visualization

Vehicle-Traffic Control with Limited Capacity CAVs

Research and Field-Testing of Vehicle-Traffic Control with Limited-Capacity Connected/Autonomous Vehicles Overview Connected and automated vehicles (CAVs) are believed to have great promise for the future of urban traffic control, and much research has been conducted in the past decade on the possibilities CAVs present for improving traffic flow in cities. However, the primary focus has…

Crowdsourcing Parking Data for Micromobility Vehicles

Crowdsourcing Parking Data for Micromobility Vehicles Overview As dockless micromobility services become more commonplace, so too are instances of mis-parked bikes and scooters, and associated complaints from other travelers and residents. Concerns over problems with parking are responsible for delaying or limiting the scale of dockless services in some cities, which limits the utility of…

City-scalable Destination Recommender System for On-demand Senior Mobility

City-scalable Destination Recommender System for On-demand Senior Mobility Overview This project aims to improve the efficiency of mobility-on-demand services with the help of machine learning. The goal is to create an algorithm that public paratransit services, private rideshare companies, and future autonomous vehicle fleets could use to improve operations and lower costs. The research is…

Proposed Brooklyn bus network redesign by Goldwyn and Levy

Simulation and Analytical Evaluation of Bus Redesign Alternatives

Simulation and Analytical Evaluation of Bus Redesign Alternatives in Transit Deserts with Ride-hail Presence Overview Despite the emergence of many new mobility options in cities around the world, fixed-route transit is still the most efficient means of mass transport. However, this efficiency is interdependent with ridership demand and network design, leading to vicious and virtuous…

Diagram of multi-intersection traffic signal coordination

Traffic Signal Optimization and Coordination in Connected Cities

Traffic Signal Optimization and Coordination in Connected Cities Overview Connected vehicles in smart cities, including vehicle to vehicle (V2V), vehicle to infrastructure (V2I), and vehicle to anything (V2X) communications, can provide more opportunities and impose more challenges for urban traffic signal control. This research aims to explore the basic research on developing signal control and…

Understanding Mobility Patterns and Decision-Making Using an Integrated, Multi-modal Sensing Platform in a Quantified Community

Understanding Mobility Patterns and Decision-making Using an Integrated, Multi-modal Sensing Platform in a Quantified Community Overview City governments all over the world face challenges understanding mobility patterns within dense urban environments at high spatial and temporal resolution. While such measures are important to provide insights into the functional patterns of a city, novel quantitative methods,…