Modeling vehicles mobility for connectivity analysis in VANET

Tariq Umer, Muhammad Amjad, Nadir Shah, Zhiguo Ding

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

14 Scopus citations

Abstract

The availability of more realistic road conditions and dynamics provides sound ground to study the issues of Vehicular ad-hoc Network (VANET). In this chapter a new heterogeneous traffic flow based mathematical model is presented, to gain the time and space dynamics of vehicles. To achieve more accurate and realistic data about road conditions, microscopic parameters of varying safety distance between the vehicles and vehicular length are considered in the model. The density dynamics under different road scenarios are calculated under the influence of these constraints with the use of a defined mathematical model. The model is able to capture the impact of road constraints such as traffic lights and road incidents, on the traffic flow. The concept of Vehicular Ad-hoc Networks (VANET) has given mankind opportunities for secure and safe journeys on the roads. VANET is defined as a subclass of Mobile Ad-hoc Networks which holds the characteristics of ad-hoc networks. However due to the dynamic road conditions, traffic flow theory concepts, mobility constraints, human behaviours and vehicular characteristics VANET exhibits different dynamics. These factors have strong influences on the VANET architecture from physical to application layers. This highlights different areas of interest in VANET for researchers to investigate. This study aims to capture the impact of traffic flow theory constraints on the vehicular density under the heterogeneous traffic flow on the road. The microscopic and macroscopic characteristics of vehicles moving on the roads are utilized for the improvement of VANET connectivity dynamics.

Original languageBritish English
Title of host publicationStudies in Systems, Decision and Control
Pages221-239
Number of pages19
DOIs
StatePublished - 2016

Publication series

NameStudies in Systems, Decision and Control
Volume52
ISSN (Print)2198-4182
ISSN (Electronic)2198-4190

Fingerprint

Dive into the research topics of 'Modeling vehicles mobility for connectivity analysis in VANET'. Together they form a unique fingerprint.

Cite this