A Histogram-Based Model for Road Traffic Characterization in VANET

El-Sayed, Hesham; Zhang, Liren; Hawas, Yaser E.; Kassabi, Hadeel El

doi:10.1007/978-3-319-11167-4_5

Cited by 7 publications

(2 citation statements)

References 9 publications

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“…Similarly, a road junction with fly-over can be modelled as free-access buffer without traffic control mechanism. Therefore, a roadway in urban city can be modelled as a tandem chain of HD/D/1/K queues [26].…”

Section: 3mentioning

confidence: 99%

A Cost Effective Route Guidance Method for Urban Areas Using Histograms

El-Sayed

Thandavarayan

Hawas

2017

Wireless Communications and Mobile Computing

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Analysing shortest path for real time traffic environment is crucial with dynamic updating. VANET technology can be used for analysing traffic but generates a huge amount of data to be exchanged, which demands more processing power and resources. In this paper, a new histogram-based route guidance algorithm (HBA) has been proposed based on light weight processing. The proposed algorithm enables selecting the shortest path between any source and destination using the histogram models, which capture the higher order distribution function of the number vehicles in every lane. Furthermore, the histogram model is used to estimate the traffic delays at intersections and roundabouts. The data entity collection through sensors used for histogram modelling is presented in detail. The experimental results show that the proposed algorithm provides a good prediction of road traffic status and a better solution for the congestion problem in the urban areas.

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Section: 3mentioning

confidence: 99%

A Cost Effective Route Guidance Method for Urban Areas Using Histograms

El-Sayed

Thandavarayan

Hawas

2017

Wireless Communications and Mobile Computing

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“…In [ 23 ], the authors develop a finite queue model to analyze queue occupancy distribution at junctions and traffic signals. They measure waiting time distribution and traffic congestions to find shortest path and receive early jam alert.…”

Section: Related Workmentioning

confidence: 99%

Workload Model Based Dynamic Adaptation of Social Internet of Vehicles

Alam

Saini

Saddik

2015

Sensors

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Social Internet of Things (SIoT) has gained much interest among different research groups in recent times. As a key member of a smart city, the vehicular domain of SIoT (SIoV) is also undergoing steep development. In the SIoV, vehicles work as sensor-hub to capture surrounding information using the in-vehicle and Smartphone sensors and later publish them for the consumers. A cloud centric cyber-physical system better describes the SIoV model where physical sensing-actuation process affects the cloud based service sharing or computation in a feedback loop or vice versa. The cyber based social relationship abstraction enables distributed, easily navigable and scalable peer-to-peer communication among the SIoV subsystems. These cyber-physical interactions involve a huge amount of data and it is difficult to form a real instance of the system to test the feasibility of SIoV applications. In this paper, we propose an analytical model to measure the workloads of various subsystems involved in the SIoV process. We present the basic model which is further extended to incorporate complex scenarios. We provide extensive simulation results for different parameter settings of the SIoV system. The findings of the analyses are further used to design example adaptation strategies for the SIoV subsystems which would foster deployment of intelligent transport systems.

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