Almost all people use it and a lot of cars running in our roads. A lot of money disbursed to establish, maintain driving roads. Many rules are declared to ensure the optimal and safe use of it. Thousands are responsible for developing, maintaining and make it more safe and smart to drive. Nevertheless, we still suffer from many problems, such as: accidents, delay of assistance and guidance and mor
e because this depend on the human use, therefore we would like to make the best use of the computer technology in this field. That's what we aim from applying this project to reduce human error. We are interested in the external development of cars by providing more applicable and reliable communication technology. It is a way to connect car with a base station which manages, controls and provide car driver with the needed information and instructions for driving faster, safer and make it easy to get the desired destination. Our project divided into 4 phases:
1- Intelligent Aided routing. < in progress >
2- Acquiring large scale and continuous changes withing a map.
3- Single smart car in Large size problems and Continuously changing maps.
4- Several smart cars in Large size problems and Continuously changing maps. Phase 1: Intelligent Aided Routing
Abstract:
Since the car was invented, all people almost have this equipment and a lot of cars became in our roads .The project ultimately introduces an adaptive intelligent system that will be able to provide guidance for its users through their across-town movements. The system tracks the users through their journeys and continuously updates its internal structure to quickly reflect the current state of the real world. On the individual level, this system will help each user to reach his destination quickly and smoothly. On the other hand, applying this system on a wide scale will help to balance traffic. Introduction:
Finding the shortest path is one of the most challenging problems in the fields of transportation, distribution and logistics. Several successful techniques and algorithms have been proposed to solve small versions of this problem. However, in certain conditions, traditional algorithms are faced by many difficulties. The most important circumstances that require attention are:
1. Large size problems: The complexity of traditional algorithms is prohibitive on
large scale because most of these algorithms tries to consider a large
subset of the whole set of possible solutions.
2. Continuously changing maps: In real life
maps are not static, weights are continuously
changing. Some paths are cut while others are established (consider an example like the traffic problem in Cairo with its swinging congestion and street cuts on one hand and frequent enhancements on the other hand). In this project we will try to solve these issues (large scale and continuous changes) using soft computing and by building a dynamic system architecture. Objective:
(1)- The project aims at building a system using a client-server architecture that handles both of the problems mentioned above. (2)- The system will include a dynamic methodology to collect information from mobile vehicles to gradually update the weights of the edges (streets) of the graph (map). (3)- On the server an adaptive routine will be responsible for receiving and processing these continuous updates. (4)- A mobile vehicle user should be able to request path directions and routing guidance in general from the server. The system should have a seamless design which means that every user should contribute a piece of information to the system without having to do any extra effort than that is required to request the server's path guidance. Expected Results:
This project should ultimately introduce an adaptive intelligent system that will be able to provide guidance for its users through their across-town movements. On the other hand, applying this system on a wide scale will help to balance traffic over a whole town.
