MPC
Project Details

Title:	Multi-Business Commute Optimization System: System Development and Pilot Case Study
Principal Investigators:	Moatassem Abdallah and Caroline Clevenger
University:	University of Colorado Denver
Status:	Completed
Year:	2017
Grant #:	69A3551747108 (FAST Act)
Project #:	MPC-553
RH Display ID:	15673
Keywords:	alternatives analysis, commuters, commuting, energy consumption, optimization, pollutants, traffic congestion, travel time

Abstract

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 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.

Project Deliverables

• [Final Report] Multi-Business Commute Optimization System: System Development and Pilot Case Study — MPC-21-431
  • View Research Brief

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