🇧🇷 Nova publicação do UFFeScience Research Group!
🇧🇷 Nova publicação do UFFeScience Research Group!
Temos o prazer de anunciar a publicação do artigo "Optimizing Preventive Police Patrol Routes in Brazilian Cities Using a GRASP-Based Routing Heuristic" no Journal of Internet Services and Applications (JISA).
O trabalho aborda o problema de Roteamento de Viaturas Policiais em Grandes Centros Urbanos (RVP-Urb), que busca maximizar a cobertura de áreas críticas de criminalidade respeitando restrições de recursos. A solução proposta, chamada PROTECTOR, é uma heurística baseada no GRASP (Greedy Randomized Adaptive Search Procedure) para gerar rotas de patrulhamento preventivo que aumentam a visibilidade policial em hotspots criminosos.
👥 Autores: Isabel Rosseti, Eduardo Canellas, Wagner Santos, Marcos Lage, Yuri Frota e Daniel de Oliveira.
Parabéns a toda a equipe!
🔗 DOI: https://lnkd.in/d2X_giC3
#UFFeScience #UFF #InstitutoDeComputação #JISA #Otimização #GRASP #Metaheurísticas #CidadesInteligentes #CiênciaDeDados #Pesquisa
🇺🇸 New publication from UFFeScience Research Group!
We're glad to announce the publication of "Optimizing Preventive Police Patrol Routes in Brazilian Cities Using a GRASP-Based Routing Heuristic" in the Journal of Internet Services and Applications (JISA).
The paper tackles the Routing of Police Vehicles in Large Urban Centers (RVP-Urb) problem, which aims at maximizing crime coverage under resource constraints. The proposed solution, PROTECTOR, is a heuristic based on the Greedy Randomized Adaptive Search Procedure (GRASP) that generates preventive patrol routes to enhance police visibility across crime hotspots.
👥 Authors: Isabel Rosseti, Eduardo Canellas, Wagner Santos, Marcos Lage, Yuri Frota, and Daniel de Oliveira.
Congratulations to the whole team!
🔗 DOI: https://lnkd.in/d2X_giC3
#UFFeScience #UFF #JISA #Optimization #GRASP #Metaheuristics #SmartCities #DataScience