1 resultado para bicycle
em DRUM (Digital Repository at the University of Maryland)
Filtro por publicador
- Academic Archive On-line (Jönköping University; Sweden) (2)
- Acceda, el repositorio institucional de la Universidad de Las Palmas de Gran Canaria. España (5)
- AMS Tesi di Dottorato - Alm@DL - Università di Bologna (2)
- Aquatic Commons (1)
- ArchiMeD - Elektronische Publikationen der Universität Mainz - Alemanha (1)
- Archive of European Integration (4)
- Archivo Digital para la Docencia y la Investigación - Repositorio Institucional de la Universidad del País Vasco (2)
- Aston University Research Archive (4)
- Biblioteca de Teses e Dissertações da USP (2)
- Bioline International (1)
- BORIS: Bern Open Repository and Information System - Berna - Suiça (21)
- Brock University, Canada (3)
- CaltechTHESIS (1)
- Cambridge University Engineering Department Publications Database (10)
- CentAUR: Central Archive University of Reading - UK (4)
- Center for Jewish History Digital Collections (6)
- Comissão Econômica para a América Latina e o Caribe (CEPAL) (1)
- Dalarna University College Electronic Archive (1)
- Digital Commons @ Winthrop University (1)
- Digital Commons at Florida International University (7)
- Digital Peer Publishing (2)
- DigitalCommons@The Texas Medical Center (1)
- DigitalCommons@University of Nebraska - Lincoln (1)
- DRUM (Digital Repository at the University of Maryland) (1)
- Harvard University (2)
- Helda - Digital Repository of University of Helsinki (3)
- Helvia: Repositorio Institucional de la Universidad de Córdoba (1)
- Illinois Digital Environment for Access to Learning and Scholarship Repository (1)
- Indian Institute of Science - Bangalore - Índia (2)
- Iowa Publications Online (IPO) - State Library, State of Iowa (Iowa), United States (1)
- Massachusetts Institute of Technology (1)
- Memoria Académica - FaHCE, UNLP - Argentina (3)
- Ministerio de Cultura, Spain (1)
- Portal de Revistas Científicas Complutenses - Espanha (1)
- QUB Research Portal - Research Directory and Institutional Repository for Queen's University Belfast (6)
- Queensland University of Technology - ePrints Archive (85)
- Repositório Aberto da Universidade Aberta de Portugal (1)
- Repositório Científico do Instituto Politécnico de Lisboa - Portugal (1)
- Repositório Institucional da Universidade de Aveiro - Portugal (1)
- Repositório Institucional da Universidade de Brasília (1)
- Repositório Institucional da Universidade Tecnológica Federal do Paraná (RIUT) (1)
- Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho" (25)
- RUN (Repositório da Universidade Nova de Lisboa) - FCT (Faculdade de Cienecias e Technologia), Universidade Nova de Lisboa (UNL), Portugal (1)
- Scientific Open-access Literature Archive and Repository (1)
- Universidad de Alicante (1)
- Universidad del Rosario, Colombia (6)
- Universidad Politécnica de Madrid (9)
- Universidade de Lisboa - Repositório Aberto (1)
- Universidade Federal do Pará (2)
- Universidade Federal do Rio Grande do Norte (UFRN) (3)
- Universidade Técnica de Lisboa (1)
- Universitat de Girona, Spain (1)
- Universitätsbibliothek Kassel, Universität Kassel, Germany (2)
- Université de Montréal (1)
- Université de Montréal, Canada (12)
- University of Michigan (64)
- University of Queensland eSpace - Australia (3)
- University of Washington (5)
- WestminsterResearch - UK (1)
- Worcester Research and Publications - Worcester Research and Publications - UK (1)
Resumo:
Bicycling as an active mode of transport can offer great individual and societal benefits. Allocating space for bicycle facilities is the key to promoting cycling as bicyclists perceive better safety and convenience in separate bikeways. In this thesis, a method is proposed for optimizing the selection and scheduling of capacity enhancements in road networks while also optimizing the allocation of road space to bicycle lanes. The goal is to determine what fraction of the available space should be allocated to bicycles, as the network evolves, in order to minimize the present value of the total cost of the system cost. The allocation method is combined with a genetic algorithm to select and schedule road expansion projects under certain budget constraints.