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Roberto Sadao Yokoyama

Researcher at State University of Campinas

Publications -  22
Citations -  429

Roberto Sadao Yokoyama is an academic researcher from State University of Campinas. The author has contributed to research in topics: Vehicular ad hoc network & Traffic congestion. The author has an hindex of 10, co-authored 21 publications receiving 335 citations. Previous affiliations of Roberto Sadao Yokoyama include University of São Paulo & Federal University of Technology - Paraná.

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Journal ArticleDOI

Traffic management systems: A classification, review, challenges, and future perspectives:

TL;DR: This article presents a classification, review, challenges, and future perspectives to implement a traffic management system that addresses the problem of congestion in cities.
Proceedings ArticleDOI

Real-time path planning to prevent traffic jam through an intelligent transportation system

TL;DR: An intelligent traffic system called CHIMERA is proposed, which improves the overall spatial utilization of a road network and also reduces the average vehicle travel costs by avoiding vehicles from getting stuck in traffic.
Journal ArticleDOI

ICARUS: Improvement of traffic Condition through an Alerting and Re-routing System

TL;DR: Simulation results show the effectiveness of ICARUS in calculating new routes and disseminating them to vehicles approaching a congested area and it reduces the travel time, fuel consumption, and CO emissions of vehicles in urban environments when compared to existing approaches.
Proceedings ArticleDOI

Scorpion: A Solution Using Cooperative Rerouting to Prevent Congestion and Improve Traffic Condition

TL;DR: An intelligent traffic cooperative routing application called SCORPION is proposed, which improves the overall spatial utilization of a road network and also reduces the average vehicletravel costs by avoiding vehicles from getting stuck in traffic.
Journal ArticleDOI

An architecture for secure positioning in a UAV swarm using RSSI-based distance estimation

TL;DR: The fundamental principles of beaconing-based communication are applied to calculate the distance between the nodes on the basis of the received signal strength indicator (RSSI), and results showed that the correct position determined by RSSI was better than the image processing from stereo cameras.