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Solutions for intelligent and cooperative transportation systems based on urban computing

Abstract

An intelligent transportation system integrates information, communication, and computing to solve common problems in the traditional transportation system, such as traffic jams, accidents, and road capacity. Thus, an efficient solution for this system should be able to consider data from sensors, information about traffic as well as information from the internet and social networks. Urban Computing is a computer science area that provides solutions to the problems faced by cities using information and communication technologies. Urban computing studies the processes of collecting, analyzing and managing data from different sources of urban spaces, including data generated by humans through the participatory sensing networks. This project aims to advance the state of the art by providing solutions for intelligent transportation systems integrating urban data from the web and vehicular networks. Based on these considerations, the project will investigate mechanisms for collecting and analyzing large volumes of data from different sources and to propose mechanisms for information dissemination and control considering applications in intelligent transportation systems. (AU)

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VEICULO: TITULO (DATA)
VEICULO: TITULO (DATA)

Scientific publications (7)
(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)
RODRIGUES, DIEGO O.; MAIA, GUILHERME; BRAUN, TORSTEN; LOUREIRO, ANTONIO A. F.; PEIXOTO, MAYCON L. M.; VILLAS, LEANDRO A.. Exploring Hybrid-Multimodal Routing to Improve User Experience in Urban Trips. APPLIED SCIENCES-BASEL, v. 11, n. 10, . (18/23064-8, 18/23126-3, 18/19639-5, 18/12447-3, 15/24494-8, 20/11259-9)
RODRIGUES, DIEGO O.; DE SOUZA, ALLAN M.; BRAUN, TORSTEN; MAIA, GUILHERME; LOUREIRO, ANTONIO A. F.; VILLAS, LEANDRO A.. Service Provisioning in Edge-Cloud Continuum: Emerging Applications for Mobile Devices. JOURNAL OF INTERNET SERVICES AND APPLICATIONS, v. 14, n. 1, p. 36-pg., . (18/12447-3, 15/24494-8, 18/19639-5, 18/23064-8, 20/11259-9)
SANCHES, MATHEUS F.; OLIVEIRA, MARIA VITORIA R.; CICERI, OSCAR J.; LADEIRA, LUCAS Z.; GARCIA, ISLENE C.; DA FONSECA, NELSON L. S.; VILLAS, LEANDRO A.; IEEE COMP SOC. EFIS - Ecological Fuel-consumption Intelligent System. 17TH ANNUAL INTERNATIONAL CONFERENCE ON DISTRIBUTED COMPUTING IN SENSOR SYSTEMS (DCOSS 2021), v. N/A, p. 7-pg., . (18/19639-5, 15/24494-8)
GOMIDES, THIAGO S.; DE GRANDE, ROBSON E.; DE SOUZA, ALLAN M.; SOUZA, FERNANDA S. H.; VILLAS, LEANDRO A.; GUIDONI, DANIEL L.. An adaptive and Distributed Traffic Management System using Vehicular Ad-hoc Networks. COMPUTER COMMUNICATIONS, v. 159, p. 317-330, . (18/19639-5)
RODRIGUES, DIEGO O.; BRAUN, TORSTEN; MAIA, GUILHERME; VILLAS, LEANDRO; IEEE. Mobility-aware Software-Defined Service-Centric Networking. 2022 31ST INTERNATIONAL CONFERENCE ON COMPUTER COMMUNICATIONS AND NETWORKS (ICCCN 2022), v. N/A, p. 10-pg., . (20/05121-4, 18/23064-8, 18/19639-5, 15/24494-8, 18/12447-3)
RODRIGUES, DIEGO O.; BRAUN, TORSTEN; MAIA, GUILHERME; VILLAS, LEANDRO; IEEE. Towards SDN-enabled RACH-less Make-before-break Handover in C-V2X Scenarios. 2021 17TH INTERNATIONAL CONFERENCE ON WIRELESS AND MOBILE COMPUTING, NETWORKING AND COMMUNICATIONS (WIMOB 2021), v. N/A, p. 8-pg., . (20/05121-4, 20/11259-9, 18/23064-8, 18/19639-5, 15/24494-8, 18/12447-3)
DE SOUZA, ALLAN M.; BRAUN, TORSTEN; BOTEGA, LEONARDO C.; VILLAS, LEANDRO A.; LOUREIRO, ANTONIO A. F.. Safe and Sound: Driver Safety-Aware Vehicle Re-Routing Based on Spatiotemporal Information. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, v. 21, n. 9, p. 3973-3989, . (19/24937-8, 18/19639-5)

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