Developing Models for Managing Drones in the Transportation System in Smart Cities

Abstract

Unmanned aerial vehicles (UAVs), especially drones, have advantages of having applications in different areas, including agriculture, transportation, such as land use surveys and traffic surveillance, and weather research. Many network protocols are architected for the communication between multiple drones. The present study proposes drone-following models for managing drones in the transportation management system in smart cities. These models are based on the initial idea that drones flight towards a leading drone in the traffic flow. Such models are described by the relative distance and velocity functions. Two types of drone-following models are presented in the study. The first model is a safe distance model (SD model), in which a safe distance between a drone and its ahead is maintained. By applying the stochastic diffusion process, an improved model, called Markov model, is deduced. These drone-following models are simulated in a 2D environment using numerical simulation techniques. With the simulation results, it could be noted that: i) there is no accident and no unrealistic deceleration; ii) the velocity of the followed drone is changed according to the speed of the drone ahead; iii) the followed drones keep a safe distance to drone ahead even the velocities are changed; iv) the performance of the Markov model is better than that of the SD model.

Management and Regulation of Drone Operation in Urban Environment: A Case Study

“…The primary identified problems are the difficulties of passive surveillance, possible very high traffic intensity, and conflict detection and resolution, including conflicts with built obstacles. The solutions for these problems require the full integration of UTM into the urban transport management systems and the development of unique methods for managing a large number of vehicles in formation flight (Nguyen et al 2020).…”

“…Dung et al presented the regulations for drones and proposed drone-following models to manage drones in the urban environment (Dung 2020); (Dung and Rohacs 2018). A higher risk of accidents will occur when more drones are active in the sky, threatening urban air transport such as infrastructure (buildings, public areas) and a safe environment (Wild et al 2016); (Ren and Cheng 2020).…”

Untitled

“…As a result, the IPCC created a study group that reassessed the global targets, concluding that it would be fundamental that warming is kept to a maximum of 1.5ºC. 15 The IPCC report estimates a 50 to 66 percent chance of keeping global warming below 1.5°C. So, emissions need to be cut by half of their current level by 2030 and reach zero by 2050 -an urgent need for countries to adopt concrete plans for emission reductions.…”

Intelligent Total Transportation Management System for Future Smart Cities

“…The future smart city must integrate drones into the smart, intelligent transport system. In our previous studies [66,67], we presented the regulations of the use of drones and proposed the drone-following models to manage drones in traffic flows. These models describe the one-by-one following process of drones in the traffic flow.…”

“…Drone-following models for managing drones in smart city air traffic flow were developed and evaluated [66,67].…”