Using Real-Time Road Traffic Data to Evaluate Congestion

Bacon, Jean; Bejan, Adrian; Beresford, Alastair R.; Evans, David; Gibbens, Richard J.; Moody, Ken

doi:10.1007/978-3-642-24541-1_9

Cited by 45 publications

(25 citation statements)

References 17 publications

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“…Projects such as Pothole Patrol [3] and Nericell [4] use vehicular accelerations to monitor road conditions and detect potholes. Transport Information Monitoring Environment (TIME) project [5] combines data from mobile and fixed sensors in order to evaluate road congestion in real time.…”

Section: Introductionmentioning

confidence: 99%

Semantic Features for Context Organization

Antuns

Gomes

Aguiar

2015

2015 3rd International Conference on Future Internet of Things and Cloud

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Abstract-In recent years the technological world has grown by incorporating billions of small sensing devices, collecting and sharing real-world information. As the number of such devices grows, it becomes increasingly difficult to manage all these new information sources. There is no uniform way to share, process and understand context information. In previous publications we discussed efficient ways to organize context information that is independent of structure and representation. However, our previous solution suffers from semantic sensitivity. In this paper we review semantic methods that can be used to minimize this issue, and propose an unsupervised semantic similarity solution that combines distributional profiles with public web services. Our solution was evaluated against MillerCharles dataset, achieving a correlation of 0.6.

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Section: Introductionmentioning

confidence: 99%

Semantic Features for Context Organization

Antuns

Gomes

Aguiar

2015

2015 3rd International Conference on Future Internet of Things and Cloud

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“…It is used to detect the number of cars on the specified roads. However, it did not work efficiently because it cannot detect dark cars in the roads and it needs to eliminate all unwanted objects around the cars to change the image to a binary image consisting of zeroes and ones [8].…”

Section: The Developed Software Programsmentioning

confidence: 99%

A Smart Traffic Information System

Medhat¹

2018

IJCA

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Traffic congestion is a challenging problem that causes crowdedness, time waste, and sometimes harmful accidents. The paper proposes a smart traffic information system that monitors the routes and picks-up the best destination route, the least crowded route, to save time and reduce the number of accidents. The system is camera based to get the status of the different routes. The obtained video streams will be processed, analyzed, and then the determined best route will regularly be stored on a server that can be remotely accessed. The system has a web-based application that facilities its managements and provides useful information about the roads to the authorized personal. A complete prototype was implemented for this system and it was tested thoroughly.

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“…Projects such as Pothole Patrol [5] and Nericell [6] use vehicular accelerations to monitor road conditions and detect potholes. TIME (Transport Information Monitoring Environment) project [7] combines data from mobile and fixed sensors in order to evaluate road congestion in real time.…”

Section: Introductionmentioning

confidence: 99%

Vehicular dataset for road assessment conditions

Antunes

Gomes

Barraca

et al. 2017

2017 International Smart Cities Conference (ISC2)

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Abstract-The Internet of Things (IoT) is a very promising concept that by connecting numerous devices to the internet and extracting large sums of information (BigData) can enable the realisation of various futuristic scenarios. In order to develop and assess future applications and services, it is necessary the availability of datasets that can be used to train, test and cross validate. Project SCoT (Smart Cloud of Things) has developed an M2M platform capable of collecting information from heterogeneous devices and collide that information in a large data repository. During its pilot phase, the project made the assessment of the road conditions in the region of Aveiro, Portugal. In this work we make the dataset used on the previous mentioned pilot publicly available. With this dataset our road assessment algorithm reached 80% accuracy in the task of pothole detection, other scenarios (that take into account vehicular speed, position and acceleration) can also be explored. The dataset was not pre-processed in anyway, the only transformation was made to protect the identity of the volunteers.

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Using Real-Time Road Traffic Data to Evaluate Congestion

Cited by 45 publications

References 17 publications

Semantic Features for Context Organization

Semantic Features for Context Organization

A Smart Traffic Information System

Vehicular dataset for road assessment conditions

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