Roads’ traffic and conditions monitoring using smart phones : Gaza Strip as a project scope

Joint Authors

Adwan, Izz al-Din H.
Samarah, Ashraf
Abu Shammalah, Fatin
al-Najjar, Muhammad

Source

المؤتمر الدولي حول المدن الذكية : آفاق و حلول، 30-31 أغسطس 2016

Publisher

Islamic University of Gaza Faculty of Engineering

Publication Date

2016-08-31

Country of Publication

Palestine (Gaza Strip)

No. of Pages

5

Main Subjects

Engineering & Technology Sciences (Multidisciplinary)

English Abstract

In this paper we introduce briefly our joint research project "smart privacy preserving roads’ traffic and conditions monitoring" (Smart P 2 Road) and describe the achieved progress and the current status of the project.

The motivation for our research project is the increasing need for road status and traffic monitoring services as the demand for motorized transportation is growing while having limited resources of highways, parks and roads.

We use smartphones as a platform for implementing our system because they come equipped with a wide range of sensors.

The most important sensors for our project are the accelerometers and gyroscopes which constitute the inertial measurement unit (IMU) and the positioning devices based on a satellite constellation such as GPS, glonass and galileo.

Moreover, they have detailed maps of the roads for easier navigation.

Other professional road monitoring sensors such as Antilock Brake System (ABS) sensor which already exists in modern vehicles can be interfaced in a modular fashion to our system.

The uniqueness of Smart P2 Road is to integrate several sensors and devices with a strong emphasis on trust, privacy, security and dependability for reliable use by public users and local authorities.

The integrity is verified through experimental monitoring of roads across Gaza strip, Palestine and Amman, Jordan.

In those experiments we collect various sensory data, keeping in mind respecting the privacy of the driver as a priority.

These collected data were processed and classified using k-means algorithm.

The preliminary results show a success rate of 95 % for the underdevelopment system.

Data Type

Conference Papers

Record ID

BIM-775904

• APA
• MLA
• AMA