# Controlling Traffic Congestion in a Residential Area via GLOSA Development
###### Abstract  
The phenomenon of traffic congestion started in the second half of the twentieth century. This arose because of our society's constant increase in demand for mobility. The excessive traffic of vehicles attempting to use the same infrastructure at the same time is what causes congestion. The consequences are well-known: delays, air pollution, reduced speed, and dissatisfaction (which may lead to risky maneuvers, reducing pedestrian and other driver safety). Our objective is to simulate the change in traffic patterns brought about by app users in residential areas (using navigational tools like Google Maps and Apple Maps), where the majority of navigational tools provide shortcuts that go through residential areas. In addition to discouraging navigation apps from directing drivers through residential areas during peak hours to mitigate pollution levels, by developing an algorithm based on the technology of Green Light Optimized Speed Advisory (GLOSA) and implementing it in a simulated environment (VISSIM), we can see the effect of changing the duration of red lights while keeping green lights constant. Overall, this solution can be implemented to change the times of traffic lights without the need for supplies, additional equipment, or warning signs because most cities' traffic lights are already remotely controlled. In addition, this procedure is temporary to provide some freedom and does not adhere to the speed specified for drivers who wish to pass through residential areas outside of rush hour. intelligent transportation systems (ITS); navigation applications; GLOSA; VISSIM; residential area; CTCRA algorithm +
Footnote †: journal: Applied Sciences  
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changes, they have implemented tools such as traffic lights, embedded loop sensors, and surveillance cameras [5; 6]. In challenging situations like obstructions, events, or emergencies, city managers may deploy police officers to direct traffic. However, the surge in popularity of online navigation apps is exacerbating rather than resolving the problem. These apps prioritize minimizing individual travel times without considering whether residential streets can accommodate the increased traffic or if unforeseen factors may compromise safety. The basic concept of an interaction between infrastructure components and vehicles, such as vehicle to infrastructure (V2I) and the vehicle, is the continuous exchange of data and information in order to improve traffic flow quality and, ultimately, traffic safety [7]. Many ITS services are presently being implemented, including new features for optimizing traffic control, due to the tremendous potential that may be realized through cooperation, collaboration, and digitization. Green Light Optimized Speed Advisory (GLOSA) uses real-time traffic light timing data as well as information on the speed and position of individual cars to generate the ideal speed advisory for each vehicle approaching their next traffic light. In principle, GLOSA intends to minimize fuel consumption and emissions while enhancing traffic flow and safety by providing drivers with the statistics and information described above [8; 9]. From the point of view of researchers, it is important to add maps that indicate the level of environmental pollution in residential areas and link them with an application that works on smartphones, integrated with GLOSA technology. This approach goes beyond the predominant focus on improving fuel consumption rates and reducing average travel time for vehicles in existing studies, addressing the critical aspect of environmental pollution.