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| Content Provider | ACM Digital Library |
|---|---|
| Author | Chelladurai, Suresh Rathnaraj Aravind, Alex Rajendran, Shanthini |
| Abstract | Traffic congestion is a growing concern in most cities across the world. It is primarily caused by a sudden increase in the number of vehicles in a relatively small number of roads and intersections, while other roads have the capacity to accommodate more traffic. In such situations, distributing traffic to roads in a balanced way could alleviate congestion. With the help of modern technology such as Internet of Things (IoT) and simulation, road users can be encouraged to choose their route on-the-fly, by providing necessary information such as projected travel time on the next leg. In extreme situations, traffic on some critical roads could be adaptively reduced by even introducing levy. A simple solution like providing road traffic information, benefits and penalties, etc., ahead in each intersection would allow travellers to make cognizant choices and therefore could lead to a better, more efficient traffic distribution. To implement the proposed system, simulation and IoT must be brought together by a suitable communication middleware system so that they can work in synchrony. Implementing an actual IoT infrastructure and then testing the cause and effects of traffic congestion with the system in-place is a daunting task. Simulation would help us to test and validate the IoT system for functionality, performance, and scalability. In this paper, we propose a novel framework for integrating IoT and simulation using a message-oriented middleware in the context of an adaptive traffic regulation system and then demonstrate the framework with the help of a prototype implementation. |
| Starting Page | 3 |
| Ending Page | 11 |
| Page Count | 9 |
| File Format | |
| ISBN | 9781450337427 |
| DOI | 10.1145/2901378.2901406 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2016-05-15 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Internet of things Simulation Traffic regulation Dynamic data-driven Road traffic Traffic congestion |
| Content Type | Text |
| Resource Type | Article |
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