Wireless Sensor Network in Intelligent Transport Systems

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ABSTRACT

Wireless Sensor Networks have played a vital role in vehicle detection through the use of smart technological systems such as Intelligent Transportation System. Huge amount of vehicle detection data has created a need for so called Intelligent Transportation System (ITS), which is able in storing, retrieving and analyzing the data for vehicle detection in an efficient and optimal way. The data obtained through various sensors and surveys are in the form of large spatiotemporal series. Challenge before the ITS, is the huge amount of traffic data, their storage, retrieval and transmission. Traffic research needs this data for pattern matching, data mining, database queries, prediction and trend analysis. Efficient data compression and data retrieval techniques are the two main desired features of ITS. Main issues with the traditional data processing techniques are the compression efficiency, data loss and redundancy. Keeping these facts in mind, the main objective of this research is to provide effective methods for the better detection of vehicles through on field wireless sensors. The research will further evaluate the use of Intelligent Transportation System in vehicle detection. Last but not the least, the research will put light on how vehicles are classified in intelligent transportation system and factors that impact the detection process. Huge amount of traffic data has created a need for so called Intelligent Transportation System (ITS), which is able in storing, retrieving and analyzing the data for vehicle detection in an efficient and optimal way. Challenge before the ITS, is the huge amount of traffic data, their storage, retrieval and transmission. Therefore, this research has provided effective methods for the better detection of vehicles through on field wireless sensors and has further studied how vehicles are classified in intelligent transportation system and factors that impact the detection process.

TABLE OF CONTENTS

ABSTRACTII

TABLE OF FIGURESIV

CHAPTER 1: INTRODUCTION1

1.1 Introduction1

1.2 Background of Problem3

1.3 Problem Statement7

1.4 Research Objectives8

1.5 Expected Outcomes of the Research9

1.6 Research Questions9

1.7 Significance of the Research10

1.8 Research Motivation11

1.9 Thesis Contribution13

1.9.2 Vehicle Detection and Classification in WSN13

1.10 Research Methodology17

1.11 Theoretical Framework20

1.11.1 Detection Theory20

1.11.2 One Dimensional Vehicle Detection21

1.12 Ethical Considerations22

1.13 Validity24

1.14 Reliability24

1.15 Thesis Organization25

REFERENCES27

TABLE OF FIGURES

Figure 1: Intelligent Transportation Systems (Jeong, 2009)2

Figure 2: Detection Block Diagram21

Figure 3: Classification Block Diagram22

CHAPTER 1: INTRODUCTION

1.1 Introduction

A wireless sensor network is still considered an emerging technology as a result of recent advancements in very small-scale manufacturability and high-scale integration of various electronic components in a single packaging. A typical wireless sensor network consists of many spatially distributed autonomous sensor nodes, called motes, to monitor the environment. A wireless sensor network may have one or more base stations (Bajwa et al. 2011). The base station is likely to possess enhanced computational abilities, more energy and communication resources than the typical node or mote. The base stations may be used as the gateways between sensor nodes and the Internet or remote users. Gateways are necessary to the Internet for remote access, gather information to or from the WSN.

There are a set of inter-related optimization processes, ...