## 3 Results and Discussion
### The Most Influential Documents
For the implementation of the proposed system, the authors used an integrated simulation tool based on VSimRTI to simulate different penetration rates of GLOSA-equipped vehicles and traffic density. The simulation results show that the higher the GLOSA penetration rate is, the greater the performance is, with a maximum of 80% reduction in stop time and up to 7% reduction in fuel consumption in a high-traffic-density scenario. A smart city framework is proposed by [PERSON] et al. [91], in which an intelligent traffic light (ITL) system is used to provide warning messages to the vehicles and to inform drivers about traffic and weather conditions of the road network. The authors evaluated the performance of the vehicles of a VANET in a smart city using information managed by the ITL system in some crossroads of the city. The evaluation of the performances of the proposed system was performed by the network simulator NCTUns 6.0. The results show the effectiveness of this framework in terms of reduction in the braking distance and the driver's reaction time. [PERSON] et al. [92] employed the oldest job first (OJF) algorithm for the optimization of traffic signal control in intersections. The authors used vehicular ad hoc networks (VANETs) to collect and aggregate real-time speed and position information of individual vehicles. The algorithm formulates the vehicular traffic signal control problem as a job scheduling problem on processors, with jobs corresponding to platoons of vehicles. The results show that the employment of the OJF algorithm led to a great reduction in the delay that is less than or equal to twice the delay of an optimal offline schedule with perfect knowledge of the arrivals. A traffic signal control algorithm is proposed by [PERSON] et al. [93] to achieve three main objectives: (1) to match or improve the performance of a state-of-the-practice actuated coordinated system; (2) to respond to real-time demands only, thereby eliminating the need for manual timing plan updates to adjust for traffic growth or fluctuations; (3) to never manage records of individual vehicles, protecting driver privacy. The authors developed a predictive microscopic simulation algorithm (PMSA) adopting microscopic traffic simulation to calculate the objective function delay directly from the vehicle's simulated behavior. The results show that the proposed algorithm maintains or improves performance compared with that of a state-of-the-practice coordinated actuated timing plan optimized by Synchro at low and midlevel volumes; however, performance becomes worse under saturated and oversaturated conditions. [PERSON] et al. [95] propose a novel traffic light control system for isolated intersections able to reduce the average waiting time of vehicles while managing the phase sequence. The system is mainly composed of a wireless sensor network (WSN) for real-time traffic data acquisition, a phase sorting module for calculating the phase execution order based on the number of enqueued cars and a fuzzy logic controller for calculating the appropriate green time duration of the relevant phase. To assess the performance of the proposed system, the authors performed several simulations using MATLAB for the evaluation of the fuzzy logic controllers and TRUETIME for simulating the IEEE 802.15.4 WSN infrastructure. The obtained results highlight that the proposed system outperforms related works in terms of reduction in the waiting times in the queues, especially under heavy traffic volumes. The feasibility of the system with real components was proven through implementation on a microcontroller, which provided experimental results in agreement with the simulated ones. In 2014, [PERSON] et al. [97] addressed the conflicting issues between actuated coordination and multimodal priority control.