An integrated and personalized traveler information and incentive scheme for energy efficient mobility systems

Chenfeng Xiong, Mehrdad Shahabi, Jun Zhao, Yafeng Yin, Xuesong Zhou, Lei Zhang

Research output: Contribution to journalConference article

Abstract

Recently, the employment of different types of incentives in transportation systems to form advanced transportation congestion management solutions has garnered significant attention. Instead of using presumed or fixed-amount incentives, this paper develops an integrated and personalized traveler information and incentive scheme to incentivize toward a more energy-efficient travel and mobility decisions. We have developed a behavior research and empirical modeling system to quantify the personalized monetary incentives. Then, it is integrated with a control optimizer for optimized incentive allocation. This scheme innovatively integrates behavioral modeling and optimization for travel incentive design. Through a demonstrative case study for a large-scale transportation system in the Washington D.C. and Baltimore regions, the capability of the proposed scheme is highlighted with significant system-level energy savings, reasonable insights on individual travel behavior responses, as well as superior computational efficiency.

Original languageEnglish (US)
Pages (from-to)160-179
Number of pages20
JournalTransportation Research Procedia
Volume38
DOIs
StatePublished - Jan 1 2018
Externally publishedYes
Event23rd International Symposium on Transportation and Traffic Theory, ISTTT 2019 - Lausanne, Switzerland
Duration: Jul 24 2018Jul 26 2018

Keywords

  • Control optimizer
  • Incentives
  • Monetary incentives
  • System model
  • Traveler information

ASJC Scopus subject areas

  • Transportation

Fingerprint Dive into the research topics of 'An integrated and personalized traveler information and incentive scheme for energy efficient mobility systems'. Together they form a unique fingerprint.

  • Cite this