Multi-Business Commute Optimization System: System Development and Pilot Case Study

The main goal of this research work focuses on the preliminary development of an innovative system named, Multi-Business Commute Optimization System (MBCOS). This system is capable of identifying incentivized optimal selection of commute alternatives for commuters commuting to a number of businesses that are co-located or closely located to minimize greenhouse gas (GHG) emissions, air pollution, energy use, traffic congestion, and total commute time and cost while maximizing health benefits and maintaining convenience. By analyzing alternatives for each commuter with a common employer or closely located employers, MBCOS provides an optimized commute plan that complies with departure and arrival times, availability of commute alternatives, availability of budgets for incentivizing commuters, flexibility in commute time, and convenience by studying and analyzing all possible commute options, including driving existing vehicles, upgrading to hybrid or electric vehicles, carpooling, using public transportation, biking, walking, and combinations of these alternatives.

• Record URL:
  https://www.mountain-plains.org/research/details.php?id=450

Language

• English

Project

• Status: Active
• Funding: $120361
• Contract Numbers:

  69A3551747108

• Sponsor Organizations:

  Office of the Assistant Secretary for Research and Technology

  University Transportation Centers Program
  Department of Transportation
  Washington, DC  United States  20590
• Project Managers:

  Kline, Robin

• Performing Organizations:

  University of Colorado Denver

  Department of Civil Engineering
  1200 Larimer Street, Room 3037
  Denver, Colorado  United States  80217
• Principal Investigators:

  Abdallah, Moatassem

  Clevenger, Caroline

• Start Date: 20171211
• Expected Completion Date: 20220731
• Actual Completion Date: 0
• Source Data: MPC-553

Subject/Index Terms

• TRT Terms: Alternatives analysis; Commuters; Commuting; Energy consumption; Optimization; Pollutants; Traffic congestion; Travel time
• Subject Areas: Operations and Traffic Management; Planning and Forecasting; Transportation (General);

Filing Info

• Accession Number: 01656111
• Record Type: Research project
• Source Agency: Mountain-Plains Consortium
• Contract Numbers: 69A3551747108
• Files: UTC, RiP
• Created Date: Jan 2 2018 11:31AM