Demonstration of SCATS V2I system for FIFA Bus Transit

Journal of Advanced Transportation, 2012

IEEE Communications Surveys & Tutorials, 2014

The growing size of cities and increasing population mobility have determined a rapid increase in the number of vehicles on the roads, which has resulted in many challenges for road traffic management authorities in relation to traffic congestion, accidents and air pollution. Over the recent years, researchers from both industry and academia were focusing their efforts on exploiting the advances in sensing, communication and dynamic adaptive technologies to make the existing road Traffic Management Systems (TMS) more efficient to cope with the above issues in future smart cities. However, these efforts are still insufficient to build a reliable and secure TMS that can handle the foreseeable rise of population and vehicles in smart cities. In this survey, we present an up to date review of the different technologies used in the different phases involved in a TMS, and discuss the potential use of smart cars and social media to enable fast and more accurate traffic congestion detection and mitigation. We also provide a thorough study of the security threats that may jeopardize the efficiency of the TMS and endanger drivers' lives. Furthermore, the most significant and recent European and worldwide projects dealing with traffic congestion issues are briefly discussed to highlight their contribution to the advancement of smart transportation. Finally, we discuss some open challenges and present our own vision to develop robust TMSs for future smart cities.

1999

Recently, bus transit service providers have begun to adopt Intelligent Transportation Systems (ITS) technologies such as Global Positioning Systems (GPS) and Mobile Data Terminals. These systems taken together have the potential to reduce the cost of providing transportation services through the execution of real-time control strategies, performance monitoring systems and data collection to support service realignment. We evaluate bus control strategies using ITS against those without ITS. Two levels of ITS are considered: (1) system with centralized tracking and (2) system with information on connecting passengers, as well as centralized tracking. For those strategies using ITS, we develop methods to forecast bus arrival times to a stop and the number passengers on board the bus. Results of a simulation analysis show that the ITS based strategies have the potential to improve connectivity between origins and destinations while reducing passenger waiting times.

International Journal of Automation and Smart Technology, 2022

Traffic congestion becomes a serious problem when there are many vehicles on the roadways. The queue of vehicles waiting to be treated at intersections increases significantly as road traffic increases, and traditional traffic lights are unable to handle it. The synchronization mechanism used by traditional circulation lighting systems changes light signals after a certain interval. This method is used when the roads are nearly empty. An intelligent traffic light system detects the presence, estimates the level of traffic, and reacts appropriately. Intelligent traffic systems are designed to prevent cars from impatiently waiting at traffic lights to change their signals when there are free roads. In this study, we develop a simulator in which a traffic grille made of traffic lights is constructed at intersections resembling those in large cities, and the flow of vehicles through the grid is optimized by developing algorithms for how traffic lights change their state. To maximize vehicle movement over the grid, scheduling algorithms are being developed to control how road traffic changes. Because of the encouraging response to our models, we were able to achieve good results that reduced the waiting time by 30% compared to the default model.

Review of Computer Engineering Studies Vol. 7, No. 3, 55-59, 2020

This paper, through critical literature review, has investigated the application of smart transportation system in handling traffic congestion with the aim of enhancing traffic flow in overcrowded cities. It has been discovered that the movement of people to urban areas in search of infrastructures and livelihood has drastically increased the population of people in such areas. This has resulted in traffic congestion, and created mobility challenges as people move from one place to another to carry out their daily activities. Many people have tried a number of traffic congestion avoidance techniques in order to meet-up with their daily appointments, one of which is moving at odd hours such as very early in the morning or late at night. This is far from being a reliable solution to the problem of traffic congestion. This research therefore, proposes an IT-based solution for traffic congestion through the concept of smart transportation systems also known as Intelligent Transport System (ITS). Its usage has given rise to the proliferation of smart systems in different urban sectors and it is projected to cover more areas of human endeavour because of its ability to proffer solutions through its adoption.

2019

As the world population and the traffic demand are constantly inflating, there is a substantial need to procure a safe and effective method for traffic control and management. Thus, traffic signals operate to manage the flow of vehicles and vulnerable road users through intersections. Intelligent Transport Systems (ITS) technologies based on vehicle connectivity and information exchange may overcome the cons of fixed‐time traffic signals in coping with the unplanned traffic stream. The roadmap for operating connected vehicles in an urban environment is still in the planning phase and in order to achieve sustainable results, a proper management technique must control the flow of vehicles. Green Light Optimal Speed Advisory (GLOSA) utilizes infrastructure and vehicles communication through using current signal plan settings and updated vehicular information in order to influence the intersection approach speeds. This thesis presents a traffic microsimulation study that investigates th...

2015 International Symposium on Networks, Computers and Communications (ISNCC), 2015

Due to the limited capacity of road networks and sporadic on-route events, road traffic congestions are posing serious problems in most big cities worldwide and resulting in considerable number of casualties and financial losses. In order to deal efficiently with these problems and alleviate their impact on individuals, environment, and economic activities, advanced traffic monitoring and control tools (e.g., SCATS and SCOOT) are being widely used in hundreds of major cities in the world. However, due to increasing road traffic and dynamic spatiotemporal events, additional proactive mechanisms remain needed to prevent traffic congestions. Within this context, we argue that the emergent V2X communication technologies, and especially V2I (Vehicle to Infrastructure), would be of great help. To this end, we investigate in this paper the opportunities that could be offered by V2I technology in improving commuters' journey duration and mitigating the above irritating and frequent problems. We then propose an approach where roadside facilities (e.g. traffic light controllers at road intersections) communicate traffic light cycle information to approaching vehicles. Based on this information, the vehicles collaboratively determine their optimal speeds and other appropriate actions to undertake in order to cross road intersections with minimum delays while ultimately avoiding stoppings. The obtained evaluation results show that our approach achieves a significant gain in terms of the commuters' average travel time reduction.

Proceedings of the SmartCity360 2016, 2017

Passenger counting systems can help to fleet managers to plan route of city buses effectively by supplying the information of number of passenger inside a bus. By combining passenger counting system with a GPS system, location of the bus and number of passenger in the vehicle can be monitored online and an effective plan of city transportation can be done. With this system estimated time of arrival for the next station with the rate of fullness can be calculated and this information can be supplied to the fleet management center.

2019

The Study group participants for the Intelligent Traffic Light Control assignment were tasked with investigating the use of autonomous traffic light controls for a network of road intersections such as the road map of a city. Smart Traffic, the software used and designed by our client Sweco, is designed to control a single intersection. Our task involved optimising the traffic flow without the need for global (e.g. city wide) governance of all traffic lights. This would both fit with the existing approach in Smart Traffic, avoids bad experiences in the past, and mathematically avoids a huge explosion of the state space. Unfortunately, the Smart Traffic software was not available for use and study, and this somewhat limited the approaches we considered. Instead, the software was treated as a black-box, for which we only knew an idealised version of the cost function that the software tried to optimise. We therefore focused on finding a method to have multiple instances of this contro...

IRJET, 2020

Traffic congestion is perhaps the worst of the scenarios seen in the cities. With rapid development, increasing population and demand for innovative services managing a city's transportation network is a complex challenge. Traffic congestion on main roads leads to various problems such as transportation delays, accidents and air pollution. The cities need to implement new strategies and technologies with the aim to reduce traffic congestion. Various techniques have been applied to control traffic. However, Advanced Traffic Management System (ATMS) is an efficient solution for traffic management that showed significant potential for reducing traffic congestion on road networks. The Advanced Traffic Management System (ATMS) is a specialized area of research and study within the field of Intelligent Transportation System (ITS). Smart cities that adopt ATMS solution are capable of solving traffic congestion problem by exploiting its technologies.