Shared Mobility Optimization in Large Scale Transportation Networks: Methodology and Applications

abstract: Optimization of on-demand transportation systems and ride-sharing services involves solving a class of complex vehicle routing problems with pickup and delivery with time windows (VRPPDTW). Previous research has made a number of important contributions to the challenging pickup and deliver...

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Other Authors: Mahmoudi, Monirehalsadat (Author)
Format: Doctoral Thesis
Language:English
Published: 2018
Subjects:
Online Access:http://hdl.handle.net/2286/R.I.49355
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spelling ndltd-asu.edu-item-493552018-06-22T03:09:39Z Shared Mobility Optimization in Large Scale Transportation Networks: Methodology and Applications abstract: Optimization of on-demand transportation systems and ride-sharing services involves solving a class of complex vehicle routing problems with pickup and delivery with time windows (VRPPDTW). Previous research has made a number of important contributions to the challenging pickup and delivery problem along different formulation or solution approaches. However, there are a number of modeling and algorithmic challenges for a large-scale deployment of a vehicle routing and scheduling algorithm, especially for regional networks with various road capacity and traffic delay constraints on freeway bottlenecks and signal timing on urban streets. The main thrust of this research is constructing hyper-networks to implicitly impose complicated constraints of a vehicle routing problem (VRP) into the model within the network construction. This research introduces a new methodology based on hyper-networks to solve the very important vehicle routing problem for the case of generic ride-sharing problem. Then, the idea of hyper-networks is applied for (1) solving the pickup and delivery problem with synchronized transfers, (2) computing resource hyper-prisms for sustainable transportation planning in the field of time-geography, and (3) providing an integrated framework that fully captures the interactions between supply and demand dimensions of travel to model the implications of advanced technologies and mobility services on traveler behavior. Dissertation/Thesis Mahmoudi, Monirehalsadat (Author) Zhou, Xuesong (Advisor) Mirchandani, Pitu B (Committee member) Miller, Harvey J (Committee member) Pendyala, Ram M (Committee member) Arizona State University (Publisher) Civil engineering Industrial engineering Operations research Dynamic programming Pickup and delivery with synchronized transfers Resource hyperprisms Ride-sharing service optimization Time-dependent shortest path problem Vehicle routing problem with pickup and delivery with time windows eng 270 pages Doctoral Dissertation Civil, Environmental and Sustainable Engineering 2018 Doctoral Dissertation http://hdl.handle.net/2286/R.I.49355 http://rightsstatements.org/vocab/InC/1.0/ All Rights Reserved 2018
collection NDLTD
language English
format Doctoral Thesis
sources NDLTD
topic Civil engineering
Industrial engineering
Operations research
Dynamic programming
Pickup and delivery with synchronized transfers
Resource hyperprisms
Ride-sharing service optimization
Time-dependent shortest path problem
Vehicle routing problem with pickup and delivery with time windows
spellingShingle Civil engineering
Industrial engineering
Operations research
Dynamic programming
Pickup and delivery with synchronized transfers
Resource hyperprisms
Ride-sharing service optimization
Time-dependent shortest path problem
Vehicle routing problem with pickup and delivery with time windows
Shared Mobility Optimization in Large Scale Transportation Networks: Methodology and Applications
description abstract: Optimization of on-demand transportation systems and ride-sharing services involves solving a class of complex vehicle routing problems with pickup and delivery with time windows (VRPPDTW). Previous research has made a number of important contributions to the challenging pickup and delivery problem along different formulation or solution approaches. However, there are a number of modeling and algorithmic challenges for a large-scale deployment of a vehicle routing and scheduling algorithm, especially for regional networks with various road capacity and traffic delay constraints on freeway bottlenecks and signal timing on urban streets. The main thrust of this research is constructing hyper-networks to implicitly impose complicated constraints of a vehicle routing problem (VRP) into the model within the network construction. This research introduces a new methodology based on hyper-networks to solve the very important vehicle routing problem for the case of generic ride-sharing problem. Then, the idea of hyper-networks is applied for (1) solving the pickup and delivery problem with synchronized transfers, (2) computing resource hyper-prisms for sustainable transportation planning in the field of time-geography, and (3) providing an integrated framework that fully captures the interactions between supply and demand dimensions of travel to model the implications of advanced technologies and mobility services on traveler behavior. === Dissertation/Thesis === Doctoral Dissertation Civil, Environmental and Sustainable Engineering 2018
author2 Mahmoudi, Monirehalsadat (Author)
author_facet Mahmoudi, Monirehalsadat (Author)
title Shared Mobility Optimization in Large Scale Transportation Networks: Methodology and Applications
title_short Shared Mobility Optimization in Large Scale Transportation Networks: Methodology and Applications
title_full Shared Mobility Optimization in Large Scale Transportation Networks: Methodology and Applications
title_fullStr Shared Mobility Optimization in Large Scale Transportation Networks: Methodology and Applications
title_full_unstemmed Shared Mobility Optimization in Large Scale Transportation Networks: Methodology and Applications
title_sort shared mobility optimization in large scale transportation networks: methodology and applications
publishDate 2018
url http://hdl.handle.net/2286/R.I.49355
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