Dynamic Ride-Sharing: A Simulation Study in Metro Atlanta

Smartphone technology enables dynamic ride-sharing systems that bring together people with similar itineraries and time schedules to share rides on short-notice. This paper considers the problem of matching drivers and riders in this dynamic setting. The authors develop optimization-based approaches that aim at minimizing the total system-wide vehicle miles incurred by system users, and their individual travel costs. To assess the merits of methods the authors present a simulation study based on 2008 travel demand data from metropolitan Atlanta. The simulation results indicate that the use of sophisticated optimization methods instead of simple greedy matching rules substantially improve the performance of ride-sharing systems. Furthermore, even with relatively low participation rates, it appears that sustainable populations of dynamic ride-sharing participants may be possible even in relatively sprawling urban areas with many employment centers.

• Record URL:
  http://www.sciencedirect.com/science?_ob=MImg&_imagekey=B9853-52X1TRD-16-1&_cdi=59087&_user=10&_pii=S1877042811010895&_origin=browse&_zone=rslt_list_item&_coverDate=12%2F31%2F2011&_sk=999829999&wchp=dGLbVzW-zSkWB&md5=3d87872905b1bbe49765db571bf28d12&ie=/sdarticle.pdf
• 
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/18770428
• Supplemental Notes:
  • Abstract reprinted with permission from Elsevier.
• Authors:
  • Agatz, Niels
  • Erera, Alan L
  • Savelsbergh, Martin W P
  • Wang, Xing
• Conference:
  • 19th International Symposium on Transportation and Traffic Theory
  • Location: Berkeley CA, United States
  • Date: 2011-7-18 to 2011-7-20
• Publication Date: 2011

Language

• English

Media Info

• Media Type: Web
• Features: Figures; Maps; References; Tables;
• Pagination: pp 532-550
• Monograph Title: International Symposium on Transportation and Traffic Theory, 19th
• Serial:
  • Procedia - Social and Behavioral Sciences
  • Volume: 17
  • Publisher: Elsevier
  • ISSN: 1877-0428
  • Serial URL: http://www.sciencedirect.com/science/journal/18770428/53
• Publication flags:

  Open Access (libre)

Subject/Index Terms

• TRT Terms: Optimization; Ridesharing; Smartphones; Traffic simulation; Travel costs; Travel demand; Urban areas; Urban sprawl
• Uncontrolled Terms: Ride matching
• Geographic Terms: Atlanta Metropolitan Area
• Subject Areas: Data and Information Technology; Highways; Planning and Forecasting; I72: Traffic and Transport Planning;

Filing Info

• Accession Number: 01345386
• Record Type: Publication
• Files: TRIS, ATRI
• Created Date: Jul 21 2011 10:08AM