Optimization of vehicular networks in smart cities: from agile optimization to learnheuristics and simheuristics

M Peyman, T Fluechter, J Panadero, C Serrat, F Xhafa… - Sensors, 2023 - mdpi.com
… of VANETs raise a number of optimization challenges that need to be solved. … optimization
and open data in smart cities, this paper discusses some of the most relevant optimization

Optimizing ride-sharing operations in smart sustainable cities: Challenges and the need for agile algorithms

LC Martins, R de la Torre, CG Corlu, AA Juan… - Computers & Industrial …, 2021 - Elsevier
smart cities. The second one deals with the consideration of works that actually apply optimization
… of those articles that explore agile optimization to solve transportation problems. From …

On the use of agile optimization for efficient energy consumption in smart cities's transportation and mobility

E Ghorbanioskalaei, EM Herrera, M Ammouriova… - Future …, 2022 - mdpi.com
… In this paper, we investigate problems raised in smart cities in the context of energy … of
a smart city, reviews of the most recent works in energy consumption optimization, and …

Edge computing and IoT analytics for agile optimization in intelligent transportation systems

M Peyman, PJ Copado, RD Tordecilla, LC Martins… - Energies, 2021 - mdpi.com
… in a group of smart cities is provided. Secondly, quantitative approaches regarding
optimization, simulation, machine learning, and agile optimization algorithms in ITS are reviewed. …

IoT analytics and agile optimization for solving dynamic team orienteering problems with mandatory visits

Y Li, M Peyman, J Panadero, AA Juan, F Xhafa - Mathematics, 2022 - mdpi.com
… Transport activities and citizen mobility have a deep impact on enlarged smart cities. By …
, as an agile optimization input for solving real-time problems in smart cities. IoT analytics has …

[PDF][PDF] Edge Computing and IoT Analytics for Agile Optimization in Intelligent Transportation Systems. Energies 2021, 14, 6309

M Peyman, PJ Copado, RD Tordecilla, LC Martins… - 2021 - academia.edu
… of smart cities is provided. Secondly, quantitative approaches regarding … agile optimization
methodology in a scenario using data directly obtained from an opendata repository in the city

An agile privacy-preservation solution for IoT-based smart city using different distributions

M Gheisari, E Shojaeian, A Javadpour… - IEEE Open Journal …, 2023 - ieeexplore.ieee.org
smart city, called Differential Privacy-Preserving Smart City (DPSmartCity). It operates as an
IoT platform in a smart city … , a smart city environment based on IoTbased smart cities is first …

Internet of Vehicles and real-time optimization algorithms: Concepts for vehicle networking in smart cities

F Adelantado, M Ammouriova, E Herrera, AA Juan… - vehicles, 2022 - mdpi.com
… devices, city planners now have the possibility to optimize traffic … in sustainable and optimized
traffic operations in smart cities. Still… To this aim, agile optimization and distributed machine …

Involving citizens in smart city projects: Systems engineering meets participation

T Vácha, O Přibyl, M Lom… - 2016 Smart Cities …, 2016 - ieeexplore.ieee.org
… In this paper we enhance this topic by demonstrating how a Hybrid-Agilesmart city
projects. It has been mentioned several times that we cannot have a smart city without smart

Routing drones in smart cities: A biased-randomized algorithm for solving the team orienteering problem in real time

AA Juan, A Freixes, J Panadero, C Serrat… - Transportation Research …, 2020 - Elsevier
… In Section 3, we explain the main ideas behind the concept of ‘agileoptimization. Section
4 describes the heuristic approach designed to solve the problem and how this can be …