Look before you leap
| bracu.type.group | Student Works | |
| dc.contributor.advisor | Kazi, Sadia Hamid | |
| dc.contributor.author | Titly, Ishrat Ahmad | |
| dc.contributor.department | Department of Computer Science and Engineering | |
| dc.date.accessioned | 2010-09-21T10:44:46Z | |
| dc.date.available | 2010-09-21T10:44:46Z | |
| dc.date.copyright | 2007 | |
| dc.date.issued | 8/30/2007 | |
| dc.description | Cataloged from PDF version of thesis report. | |
| dc.description | Includes bibliographical references (page 76). | |
| dc.description | This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2007. | en_US |
| dc.description.abstract | In everyday life, we often spend most of our valuable time in traffic congestion's. Before using a path if one could get to know that the alternate path is much freer or having less congestion than the path, where the user is wasting his time, then he would have preferred to move on the alternate path. For this, the user needs to know the condition of the paths which was not possible till today. But the system, that I would like to propose, would let the user to know which path would be best to choose. The system would help the user to view real‐time video of certain places. Places, where most traffic congestion's occur every day. Along, which shortest route that the user should take to reach his or her destination can be known. The user would be able to view a real‐time video of a single place or video clips of certain places on his entire route. Or he would be able to view the clips even he is not anywhere on the route. Hence, the people of Bangladesh would not fail to attend their important meetings, classes or anywhere because of the daily traffic jams. They would be at their destination on time. | |
| dc.description.degree | Bachelor of Science in Computer Science and Engineering | |
| dc.description.statementofresponsibility | Ishrat Ahmad Titly | |
| dc.format.extent | 76 pages | |
| dc.identifier.other | ID 02201115 | |
| dc.identifier.uri | http://hdl.handle.net/10361/170 | |
| dc.language.iso | en | |
| dc.publisher | BRAC University | en_US |
| dc.rights | BRAC University thesis are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. | |
| dc.subject | Computer science and engineering | |
| dc.title | Look before you leap | en_US |
| dc.type | Thesis | en_US |