Increased of on-road vehicles lead to increase of ... · ICCE-Asia 2016 International Conference on...

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1 1.0 Introduction Modelling, Simulation & Computing Laboratory (mscLab) Faculty of Engineering, Universiti Malaysia Sabah, Malaysia ICCE-Asia 2016 International Conference on Consumer Electronics Asia 2016 COEX Convention Center, Seoul, Korea, 26-28 October 2016 Increased of on-road vehicles lead to increase of accidents Human error accounts for 90% of road accidents [1] Vehicular Ad Hoc Network (VANET) is introduced to alert drivers on road condition. VANET uses Dedicated Short Range Communication (DSRC) and IEEE 802.11p as standard for PHYSICAL and MAC layers in vehicular network. Few types of communication: Vehicle-Vehicle (V2V) Vehicle-Infrastructure (V2I) Vehicle-People (V2P) Source: [1] Human Error Accounts for 90% of road accidents. Alertdriving. April 2011. http://www.alertdriving.com/home/fleet-alert-magazine/international/human-error-accounts-90-road-accidents

Transcript of Increased of on-road vehicles lead to increase of ... · ICCE-Asia 2016 International Conference on...

Page 1: Increased of on-road vehicles lead to increase of ... · ICCE-Asia 2016 International Conference on Consumer Electronics Asia 2016 COEX Convention Center, Seoul, Korea, 26-28 October

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1.0 Introduction

Modelling, Simulation & Computing Laboratory (mscLab) Faculty of Engineering, Universiti Malaysia Sabah, Malaysia

ICCE-Asia 2016 International Conference on Consumer Electronics Asia 2016

COEX Convention Center, Seoul, Korea, 26-28 October 2016

• Increased of on-road vehicles lead to increase of accidents

• Human error accounts for 90% of road accidents[1]

• Vehicular Ad Hoc Network (VANET) is introduced to alert drivers on road condition.

• VANET uses Dedicated Short Range Communication (DSRC) and IEEE 802.11p as standard for PHYSICAL and MAC layers in vehicular network.

• Few types of communication: • Vehicle-Vehicle (V2V) • Vehicle-Infrastructure (V2I) • Vehicle-People (V2P)

Source: [1] Human Error Accounts for 90% of road accidents. Alertdriving. April 2011.

http://www.alertdriving.com/home/fleet-alert-magazine/international/human-error-accounts-90-road-accidents

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1.0 Introduction

Modelling, Simulation & Computing Laboratory (mscLab) Faculty of Engineering, Universiti Malaysia Sabah, Malaysia

ICCE-Asia 2016 International Conference on Consumer Electronics Asia 2016

COEX Convention Center, Seoul, Korea, 26-28 October 2016

Mobility

Simulators

Network

Simulators

VANET

The objective of this research is to generate vehicles’ movement for VANET using mobility simulators.

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2.0 Mobility Simulators

Modelling, Simulation & Computing Laboratory (mscLab) Faculty of Engineering, Universiti Malaysia Sabah, Malaysia

ICCE-Asia 2016 International Conference on Consumer Electronics Asia 2016

COEX Convention Center, Seoul, Korea, 26-28 October 2016

Roadside Units

MATLAB SUMO

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3.0 Development of Mobility Model

Modelling, Simulation & Computing Laboratory (mscLab) Faculty of Engineering, Universiti Malaysia Sabah, Malaysia

ICCE-Asia 2016 International Conference on Consumer Electronics Asia 2016

COEX Convention Center, Seoul, Korea, 26-28 October 2016

(a) Original OpenStreetMap Network

(b) Network imported into JOSM Editor Network imported into SUMO

JOSM Editor SUMO

Network

generated in

JOSM is

transferred

into SUMO

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4.0 TraCI4Matlab

Modelling, Simulation & Computing Laboratory (mscLab) Faculty of Engineering, Universiti Malaysia Sabah, Malaysia

ICCE-Asia 2016 International Conference on Consumer Electronics Asia 2016

COEX Convention Center, Seoul, Korea, 26-28 October 2016

• TraCI4Matlab acts as a bridge to allow communication between any application written in MATLAB and SUMO.

• It allows user to control SUMO objects such as vehicles, traffic lights, junctions, etc. through MATLAB.

• SUMO configuration file needs to be edited for MATLAB to be able to interface with SUMO.

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4.0 TraCI4Matlab

Modelling, Simulation & Computing Laboratory (mscLab) Faculty of Engineering, Universiti Malaysia Sabah, Malaysia

ICCE-Asia 2016 International Conference on Consumer Electronics Asia 2016

COEX Convention Center, Seoul, Korea, 26-28 October 2016

<?xml version="1.0" encoding="UTF-8"?>

<configuration

xmlns:xsi="http://www.w3.org/2001/XMLSchema-

instance"

xsi:noNamespaceSchemaLocation="http://sumo.dlr.de/xsd

/sumoConfiguration.xsd">

<input>

<net-file value="cross.net.xml"/>

<route-files value="cross.rou.xml"/>

<additional-files value="cross.det.xml"/>

</input>

<time>

<begin value="0"/>

<step-length value="1"/>

</time>

<report>

<verbose value="true"/>

<no-step-log value="true"/>

</report>

<traci_server>

<remote-port value="8813"/>

</traci_server>

</configuration>

SUMO Configuration file

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5.0 Results and Discussions

Modelling, Simulation & Computing Laboratory (mscLab) Faculty of Engineering, Universiti Malaysia Sabah, Malaysia

ICCE-Asia 2016 International Conference on Consumer Electronics Asia 2016

COEX Convention Center, Seoul, Korea, 26-28 October 2016

• There are pros and cons for MATLAB and SUMO in designing VANET’s network.

• However, TraCI4Matlab can help to make MATLAB and SUMO a better simulators for VANET.

• TraCI4Matlab also includes the following controls: • GUI • Lane • Vehicle • Traffic Light

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5.0 Results and Discussions

Modelling, Simulation & Computing Laboratory (mscLab) Faculty of Engineering, Universiti Malaysia Sabah, Malaysia

ICCE-Asia 2016 International Conference on Consumer Electronics Asia 2016

COEX Convention Center, Seoul, Korea, 26-28 October 2016

• Through TraCI4Matlab:

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6.0 Conclusion

Modelling, Simulation & Computing Laboratory (mscLab) Faculty of Engineering, Universiti Malaysia Sabah, Malaysia

ICCE-Asia 2016 International Conference on Consumer Electronics Asia 2016

COEX Convention Center, Seoul, Korea, 26-28 October 2016

Characteristics Mobility Simulator

TraCI4Matlab (MATLAB + SUMO)

VANET Design Process

Fast design, map can be obtained through Open Street Map

VANET Visualization Real world road network and smooth vehicles flow

Vehicle’s Characteristics Has all information related to vehicles such as speed,

emission, etc.

Algorithm Development Allow complex algorithm to be developed

Results Analysis

Easy data collection and result analysis