Real-Time System Prediction & Optimal Rebalancing Strategies for Public Bike Sharing Systems

The primary goal of the proposed study is to develop tools that can be used to enhance the performance of public Bicycle Sharing Systems (BSS), in particular the Capital Bikeshare. Capital Bikeshare is one of the oldest and largest BSS operating in Washington D.C., Virginia, and Maryland. In this context, the objectives of the study are three-fold: Objective (1): Develop real-time system state prediction models of BSS. These models will be able to predict the number of departures of customers for retrieving bikes and number of arrivals of customers for returning bikes at each station by time-of-day. Objective (2): Develop heuristic algorithms for managing the expected demand patterns. This includes development of quick heuristic algorithms that can identify optimal rebalancing schedules as demand evolves in real-time Objective (3): Integrate the predictive models into a geographic information systems (GIS) toolkit with an easy-to-use Graphical User Interface (GUI) that visually depicts the future demand patterns (for BSS customers) and associated optimal rebalancing routes and schedules (for BSS operators).

• Record URL:
  http://www.matsutc.org/real-time-system-prediction-optimal-rebalancing-strategies-for-public-bike-sharing-systems/

Language

• English

Project

• Status: Completed
• Contract Numbers:

  DTRT13-G-UTC33

• Sponsor Organizations:

  United States Department of Transportation - FHWA - LTAP

  1200 New Jersey Avenue, SE
  Washington, DC    20590

  Old Dominion University

  Norfolk, VA  United States  23529

  Virginia Tech Transportation Institute

  3500 Transportation Research Plaza
  Blacksburg, Virginia  United States  24061

  Office of the Assistant Secretary for Research and Technology

  University Transportation Centers Program
  Department of Transportation
  Washington, DC  United States  20590
• Performing Organizations:

  Old Dominion University

  Norfolk, VA  United States  23529

  Virginia Tech Transportation Institute

  3500 Transportation Research Plaza
  Blacksburg, Virginia  United States  24061
• Principal Investigators:

  Paleti, Rajesh

• Start Date: 20160501
• Expected Completion Date: 20171031
• Actual Completion Date: 0

Subject/Index Terms

• TRT Terms: Algorithms; Bicycles; Geographic information systems; Optimization; Performance measurement; Real time control; Routes and routing; Vehicle sharing
• Identifier Terms: Capital Bikeshare
• Geographic Terms: Washington (District of Columbia)
• Subject Areas: Data and Information Technology; Operations and Traffic Management; Planning and Forecasting; Vehicles and Equipment;

Filing Info

• Accession Number: 01593655
• Record Type: Research project
• Source Agency: Mid-Atlantic Transportation Sustainability Center
• Contract Numbers: DTRT13-G-UTC33
• Files: UTC, RIP
• Created Date: Mar 15 2016 6:21PM