A project submitted to the Department of Civil Engineering at Daffodil International University, Bangladesh in Partial Fulfillment of the Requirements for the Degree of Bachelor of Science (B.Sc.) in Civil Engineering. Project Titled "Project Titled Road Accident Analysis Dhaka-Rangpur Expressway (N5)." Submitted to the Department of Civil Engineering has been thoroughly reviewed and satisfactorily accepted in partial fulfillment of the requirement for the Bachelor of Science (B.Sc.) Degree in Civil Engineering on December 1, 2020. This is to certify that the project of titled ' Road Accident Analysis Dhaka - Rangpur Expressway (N5).' submitted to the Department of Civil Engineering of Daffodil International University (DIU) in partial fulfillment of the requirement for the Bachelor of Science (B.Sc.) Degree in Civil Engineering is the record of the original research work carried out by me under the supervisor and assistant professor Department of Civil Engineering of Daffodil International University (DIU), and thesis this thesis or any part thereof has not been submitted elsewhere for the award of any degree.
Although Microcomputer Accident Analysis Package (MAAP)-based accident database determines the respiratory for road traffic accident (RTA) data of the country, its application is constrained by several limitations. Be that as it may, the greater part of the past examinations have centered on a few danger factors, some specific road customers or specific types of accidents; and in this way, the significant components that affect damage or the severity of the accident are not completely observed at this stage. Research dependent on complete analysis of the reasons for accidents and structure of suitable design arrangement is the way to effective enterprise.
The road accident data has yet to be fully used for basic leadership and performance observation in view of the fact that the current framework cannot carry out a broad and comprehensive analysis on road safety. Be that as it may, most of the previous examinations have concentrated on a few danger factors, some specific road customers or specific types of accidents; thus, the significant components affecting damage or accident severity have not been fully observed at this stage. The framework will use the road accident database as the source of knowledge, to help decide the cause of accidents and give a more picture of the issues and possible mediation to improve the road safety condition.
In any case, the internal and external reviews of data analysis findings necessary to generate countermeasures and regulatory level choices are beyond the scope of this proposal.
Literature Review 4-16
Traffic pattern of Dhaka–Rangpur National Highway 5
- Fatal Accident 6
- Nature of Fatal Accidents 6
- Head-on collision 7
- Rear End 8
- Right Angle 9
- Sideswipe 9
- Overturned 11
- Hitting Object in Road 11
- Hit Parked Vehicle 13
- Hit Pedestrian 13
- Hit Animal 15
Traffic Accidents Severity by Year 21
Month-wise accident severities 22
Regarding the time at which the accidents occur, it is conceivable to say that the majority of the accidents collected occurred on Saturday and Tuesday (both 15%), Friday and Monday (both 16%). This section begins with the source of crash data and how it is aggregated for data analysis applications in road traffic accident analysis (RTA). The main section clarifies the data analysis, which should shape the outcomes Knocked Over, Frontal Collision, Right Angle, Lateral Movement, Parked Vehicle Hit, Pedestrian Hit, Animal Run Over, and explanations of the discoveries.
The Excel database, separate from the MAAP5 database, required some additional handling before it could be used for data analysis. It was later found that the PC assigned for data analysis activities could not handle this huge database. In any case, the review approach currently used should be used as a framework for all types of concentrated data analysis with high-end PCs for all database sizes.
This project is the first step towards the application of data analysis (DA) in road accident analysis in Bangladesh. No past research has ever used data analytics for finding unrecognized and unsuspected facts and overcoming data-related deficiencies in road accidents as well as measurable limitations in the country. Accordingly, in this exploration, an attempt has been made to consider the feasibility and usefulness of data analysis techniques in the context of road welfare in Bangladesh.
Under-detailing, under-recording and inappropriate transcription of accident announcement structures are part of the significant drawbacks of accident data collection. Despite the problems of under-advertising, the previously mentioned well-being estimates assumed control over the years, the amount of traffic accidents has decreased. Although the question of is evident in a creative city like Dhaka, however it can, discovering the effect of this on the consequence of the studies is beyond the scope of this paper.
Lion's share of the recorded traffic accidents cause deaths (81%) and "hitting a pedestrian is the most common type of accident. Handling the monstrous accident database for data analysis requires fast computers with good specialized configuration. It was discovered that the computer which was assigned to the data analysis operations for this thesis could not handle the colossal database.
It is expected that the results would be progressively more accurate if it were possible to work with the entire database. It would then be conceivable to include other indicators in this review that have been overlooked due to inconsistencies in the segment headers.
Traffic Accidents Severity by Month 24
Date -wise accident severities 25
Week -wise accident severities 26
In any case, no unmistakable peak could be distinguished for the variety of Sperf-Cond accidents. Road traffic accident (RTA) data for the period 2010-2015 was collected by the Accident Research Institute (ARI) of Bangladesh University of Engineering and Technology (BUET). ARI uses microcomputer accident analysis group five programming for accident data collection and analysis reasons.
In any case, it finds that the conversion tool is unable to convert the entire database to Excel. Some crash records were found as garbage in the converted database and this event as random events. Thus, in the next phase, the time frame of the review was shortened to the latest 5-year modified ARI database.
In each case, the entire converted Excel database was used for general quantitative analysis using SQL in MS Access. It was difficult to select a segment of the same accident factors according to the condition of the streets and roads and theirs. Changing the MAAP5 database required physically changing the database or building another instrument.
The intention was to evoke reasonable, and ideally new, unsuspected and intriguing certainties as well as to confirm any observed concepts from road traffic accident data. This section mainly outlines the discoveries of this exploration and outlines the areas and future research scopes. A tool was needed to easily and accurately convert/transcribe the entire MAAP database into MS Excel.
Abdel-Aty, M., Dilmore, J., and Dhindsa, A., “Evaluation of variable speed limits for real-time highway safety improvement”, Accident Analysis and Prevention, Vol. Project assessment document on a proposed credit of USD 62.2 million, corresponding to the People's Republic of Bangladesh, for the Clean Air and Sustainable Environment project.
Traffic Accidents Severity by Collision Type 27
Traffic Accidents Severity by Sperf-Cond variety 28
Traffic Accidents Severity by Loc' H Type 30
