19-10-2012, 03:53 PM
Intelligent transport system using GIS
[attachment=36707]
INTRODUCTION
Mobility enables us to separate home from work and visit friends and family, as well as
to allow us to do business across a wider region. Transportation has the ability to provide some
powerful benefits to society.
Generally, there is widely accepted link between economic well-being and good
transportation. However, the picture is not all rosy. There is a price to pay for good
transportation.
PACKAGE DEVELOPMENT
Mechanism
Developing Advanced Traveler Information System (ATIS) in Geographic Information
System (GIS) is main objective of current project. In this system shortest path, closest facility
and city bus routes were included. Besides these features location wise information and inter city
traveler information like bus, train and airways timing are also included. Mechanism involved in
the development of package is described in following sections.
Shortest path
Route planning is a process that helps vehicle drivers to plan a route prior to or during a
journey. It is widely recognized as a fundamental issue in the field of transportation. A variety of
route optimization criteria or planning criteria may be used in route planning. The quality of a
route depends on many factors such as distance, travel time, travel speed and number of turns.
These all factors all can be referred as travel cost. Some drivers may prefer the shortest path
based on distance and some prefer based on travel time [11].
The route selection criteria can be either fixed by a design or implemented via a
selectable user interface. In the current project route selection is via user interface. In the
optimization of the travel distance (road segment length), distance was stored in digital data base
and the route planning algorithm was used. In the optimization of travel time, road segment
length and speed limit on that road are stored in digital data base and travel time was calculated
(distance/speed limit). The calculated travel time was used as travel cost in the performance of
path optimization.
Closest facility
In the closest facility problem route length and travel time (drive time) were considered
as travel costs. Different facilities like hospitals, bus stations, and tourist places were taken as
themes in the project. Closest facility algorithm calculates all the routes from selected origin to
facilities based on travel cost. It compares travel costs of these routes and gives one optimal
route as output [1].
City bus routes
City buses with their numbers were stored in a data base in a compressed format because
on one road segment there will be more than one bus. A search algorithm was used to find bus
service number from selected origin and destination. According to bus number, road segments on
the map were selected and highlighted with different color.
[attachment=36707]
INTRODUCTION
Mobility enables us to separate home from work and visit friends and family, as well as
to allow us to do business across a wider region. Transportation has the ability to provide some
powerful benefits to society.
Generally, there is widely accepted link between economic well-being and good
transportation. However, the picture is not all rosy. There is a price to pay for good
transportation.
PACKAGE DEVELOPMENT
Mechanism
Developing Advanced Traveler Information System (ATIS) in Geographic Information
System (GIS) is main objective of current project. In this system shortest path, closest facility
and city bus routes were included. Besides these features location wise information and inter city
traveler information like bus, train and airways timing are also included. Mechanism involved in
the development of package is described in following sections.
Shortest path
Route planning is a process that helps vehicle drivers to plan a route prior to or during a
journey. It is widely recognized as a fundamental issue in the field of transportation. A variety of
route optimization criteria or planning criteria may be used in route planning. The quality of a
route depends on many factors such as distance, travel time, travel speed and number of turns.
These all factors all can be referred as travel cost. Some drivers may prefer the shortest path
based on distance and some prefer based on travel time [11].
The route selection criteria can be either fixed by a design or implemented via a
selectable user interface. In the current project route selection is via user interface. In the
optimization of the travel distance (road segment length), distance was stored in digital data base
and the route planning algorithm was used. In the optimization of travel time, road segment
length and speed limit on that road are stored in digital data base and travel time was calculated
(distance/speed limit). The calculated travel time was used as travel cost in the performance of
path optimization.
Closest facility
In the closest facility problem route length and travel time (drive time) were considered
as travel costs. Different facilities like hospitals, bus stations, and tourist places were taken as
themes in the project. Closest facility algorithm calculates all the routes from selected origin to
facilities based on travel cost. It compares travel costs of these routes and gives one optimal
route as output [1].
City bus routes
City buses with their numbers were stored in a data base in a compressed format because
on one road segment there will be more than one bus. A search algorithm was used to find bus
service number from selected origin and destination. According to bus number, road segments on
the map were selected and highlighted with different color.