Offline Public Transportation Management System Based on GPS/WiFi and Open Street Maps

Abstract

Information technology (IT) has transformed many industries, from education to health care to government, and is now in the early stages of transforming transportation systems. Transportation faces many issues like high accidents rate in general, and much more rate in developing countries due to the lack of proper infrastructure for roads, is one of the reasons for these crashes. In this project we focus on public transportation vehicles-such as buses, and mini-buses-, where the goal of the project is to design and deploy a smart/intelligent unit attached to public vehicles by using embedded microcontroller and sensors and empowering them to communicate with each other through wireless technologies. The proposed Offline Intelligent Public Transportation Management System will play a major role in reducing risks and high accidents rate, whereas it can increase the traveler satisfactions and convenience. Here, we propose a method, software as well as a framework as enabling technologies to for evaluation, planning and future improvement the public transportation system. Our system even though can be as whole or parts can be applied all over the world we mostly target developing countries. This limitation mostly appear by consider off-shelf technologies such as WiFi, GPS and Open Street Maps (OSM).

Smart Real-Time Healthcare Monitoring and Tracking System using GSM/GPS Technologies

“…Finally, the word CRUD refers to these four verbs and the C letter is coming from create, R from read, U from update and D from delete. many works has been carried as in [23] [22] [18], where smart boards based on controller and related sensors are defined for specific applications.…”

Wireless Sensor Networks for Road Traffic Monitoring

“…Usually, linear topologies exist on pipelines, rivers and railways. Many other possible candidate applications could be also considered as in [9], [10] and [11] not only for speed monitoring or temperature measurement, but also for GIS data collection to enhance the health of important structures as tunnels, bridges, and kinetic traffic structures to avoid disasters and improve environmental quality by measuring co2 emissions inside tunnels and ventilate it properly in times of congestion, vibration of bridges and avoid collapse caused by resonance,surface humidity and protect vehicles from slipping away by forcing proper speed ... etc. For such topology, ZigBee cluster-tree can be implemented as well to exchange data between nodes, where this method suffers from limitations in LWSN: the limited number of children, and as well as the maximum number of children routers, and the maximum tree depth as stated and discussed by [12].…”

“…ITS services and applications depend on deploying advanced technologies and distributing them on the intelligent infrastructure systems and vehicles systems. These advanced technologies consists of physical world perceive technologies that are able to provide real world measurements and convert them into the digital world, storage capabilities to work on the digital measurements which will save and analyse these data and the communication technologies of both wired and wireless technologies to exchange the collected data with the vehicles and their infrastructure and vice versa [1] [2].…”

Public Transportation Management System based on GPSWiFi and Open Street Maps

“…Preliminary results of our study are reported in [1] This project aims to build an open framework that focuses on traffic and vehicular data for enhancing Public Transportation Management System (PTMS) efficiency in terms of analysis and planning. The proposed framework consists of four main phases namely user data collection, transmission, data analysis and decision making.…”

“…GPS tracking devices collect information regarding the vehicle such as the vehicles geographical location (i.e. longitude and latitude), speed and the driving direction at regular intervals of time [1]. The design of this phase relies on integrating multi-sensor capabilities together, in order to increase of the range of possible application that may serve the public transportation system such as collecting the pollution level along the road segments.…”