Abstract
There are many methods of collecting traffic flow data, especially using smart phone apps. However, few current solutions balance the need for collecting full route data whilst respecting privacy and remaining low-cost. This project looks into the creation of a wireless sensor network (WSN) that can balance these requirements in an attempt to negate some of the concerns that come with this type of technology. Our proposed system only collects location data within a defined city area. This data is collected with a randomized identifier, which limits repeated identification of the source vehicle and its occupants. Data collected is shared between vehicle and roadside base stations when the two are in range. To deal with the fluid nature of this scenario, a purposely designed Media Access Control (MAC) protocol was designed and implemented using the beacon-slotted ALOHA (Advocates of Linux Open-source Hawaii Association) mechanism.
Highlights
Information and data are important to a city’s council in understanding how best to use their available assets and resources
Which would increase the number of vehicles that are processed by the traffic light system and avoid turning on a green light needlessly if no vehicles are present [3] in the direction
We proposed a wireless sensor network (WSN)-based system and a new Beacon-Slotted Aloha Media Access Control (MAC) communication protocol as a solution
Summary
Information and data are important to a city’s council in understanding how best to use their available assets and resources. The term Intelligent Traffic System (ITS) describes the idea of integrating communications technology with transport infrastructure and vehicles This integration allows for better management of the available transport systems meaning that they operate more effectively and efficiently [1]. Which would increase the number of vehicles that are processed by the traffic light system and avoid turning on a green light needlessly if no vehicles are present [3] in the direction. This concept though could be applied to multiple connected traffic light-controlled junctions so that they work in conjunction with each other. Successive green lights would be able to decongest busy routes but, as the authors warn, it comes at the cost of greater congestion on Sensors 2019, 19, 347; doi:10.3390/s19020347 www.mdpi.com/journal/sensors
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