22-08-2012, 10:53 AM
TRAVEL TIME PREDICTION UNDER HETEROGENEOUS TRAFFIC CONDITIONS USING GPS DATA
Travel time prediction.pptx (Size: 109.21 KB / Downloads: 34)
OBJECTIVE
Travel time information is a vital component of many intelligent transportation systems(ITS).
In recent years, the number of vehicles in India has increased tremendously, leading to severe traffic congestion and pollution in urban areas, particularly peak periods.
INTRODUCTION
India is going a period of drastic changes in the field of transportation because of many factors
These include a rapidly growing economy, rising levels of vehicle ownership and public`s expectation for superior infrastructure and services.
This will require fast and real time data collection, an accurate and quick prediction technique and a fast communication facility.
In this study an algorithm that predicts travel time is presented and corroborated using Global Positioning System (GPS) data.
Hardware
For the implementation of the Travel time prediction system we require the GPS module which plays the prominent role in the prediction and working of the system.
GPS
GPS has become an efficient tool in the field of scientific use, commerce, surveillance and tracking. It depicts the use of GPS module/receiver to find latitude and longitude of its location. The data obtained from GPS receiver (GPGGA sentence) is processed by the microcontroller to extract its latitude and longitude values.
The serial data is taken from the GPS module through MAX232 into the SBUF register of 8051 controller (refer serial interfacing with 8051). The serial data from the GPS receiver is taken by using the Serial Interrupt of the controller. This data consists of a sequence of NMEA sentences from which GPGGA sentence is identified and processed.
Interfacing of GPS to 8051
Receiver1 (R1) of MAX232 has been used for the serial communication. The receiver pin of GPS module is connected to R1IN (pin13) of MAX232. R1OUT (pin 12) of MAX232 is connected to RxD (P3.0) of AT89C51.
IR SENSOR
A sensor when coupled with an electronic circuit converts the physical change into a signal which can be read by an observer or by an microcontroller.
The most common use of the sensors is to get feedback from external environment.