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ORCID
https://orcid.org/0000-0001-8613-1957
Access Type
Open Access Thesis
Document Type
thesis
Degree Program
Civil Engineering
Degree Type
Master of Science in Civil Engineering (M.S.C.E.)
Year Degree Awarded
2019
Month Degree Awarded
September
Abstract
Tripod, an integrated bi-level transportation management system, is a smartphone application from the potential user’s point of view which would be instantly accessed prior to performing the trip. Since there are constantly several alternatives for any trip, Tripod considers a series and combination of various parameters, including departure time, mode and route, and rewards for each alternative with a number of redeemable points for goods and services called “Tokens”. The framework responsible for computing the optimized number of tokens awarded to the set of available alternatives in order to minimize the system-wide energy consumption under a constrained Token budget, is the System Optimization (SO) implemented in Tripod. To do so, a higher number of tokens would be awarded to the alternatives, guaranteeing a larger energy saving, less energy consumption, alternatively. SO is multimodal whereby public transit, private car, carpooling, etc. are being considered as the potential travel modes. Furthermore, SO is dynamic, predictive and personalized: the same alternative is rewarded differently, depending on the current and predicted future condition of the network and on the individual’s profile. In order to solve this problem, a multimodal simulation-based optimization model will be elaborated.
DOI
https://doi.org/10.7275/15215514
First Advisor
Song Gao
Creative Commons License
This work is licensed under a Creative Commons Attribution-Share Alike 4.0 License.
Recommended Citation
Ghafourian, Hossein, "Sustainable Travel Incentives Optimization in Multimodal Networks" (2019). Masters Theses. 832.
https://doi.org/10.7275/15215514
https://scholarworks.umass.edu/masters_theses_2/832