We present a case study of a road traffic accident in which bloodstain pattern analysis helped us to solve the discrepancy between reports produced by forensic examiners and by the forensic biology department. The case was of a 22-year-old man who died immediately and a 31- year-old woman who survived a road traffic accident. Three types of traffic surveys were conducted as follows: (1) Roadside Traffic Count Survey (60 stations) (2) Origin and Destination (OD) Interview Survey (41 stations) (3) Travel Time Survey (21 routes) Table 6.1shows the detailed schedule of the survey. more than 50 % (from 0.63 to 0.97). Of the four major elements associated with road traffic accidents, the road users are the main cause of accidents, with speed violations, negligence and poor driving behaviour. Figure 1 indicates that the main causes of accidents were high speed (56%) and negligence (32%) both related to road users. The The relationship between traffic volume and accidents can be expressed as follows [3]. Number of accidents = a . Q b Where: Q = measure of traffic volume a, b = constants If b=1, 1% increase in traffic volume is associated with an 1% increase in the number of accidents. [3] Elvik and Vaa, 2004, Handbook of Road Safety Measures 3. the need for traffic signals and speed zones is also determined by traffic studies, which have similar application in the analysis of traffic management in work zones. the two basic methods of traffic counting are- manual observations automatic recording • typical equipment needed for manual counts are: tally sheets, or mechanical count … 3) Road Accident Analysis System: At this layer the data manipulation is made. basically it comprises of classification and prediction modules. C. Classification Data classification is the process of sorting and categorizing data into various types, forms or any other distinct parameters. This paper describes a model developed to identify black spots on roads using Kernel and Overlay analysis in GIS. GIS is location based information to analyze the spatial and non-spatial data. Hence a model for identifying accident spot location on roads can be easily integrated using GIS [1-6]. Study area number of traffic accidents occurred in the month of May (45,215) and as per time wise analysis, maximum road accidents were riders of „Two Wheelers‟. „Trucks/Lorries‟, „Cars‟ and „Buses‟ have accounted for 19.4%, 12.4% and 8.3% of road accidental deaths respectively. Most of road accidents were due to over speeding Abstract. This research aims to analyze and predict the level of road traffic noise in a U-turn. This study was conducted on 4 different roads with 2 points of observation in each road. Noise level, number of horn, number of vehicle, speed of vehicle were recorded for 10 min in every hour for 14 h by using SLM, counter and speed gun. 1 Traffic Management as Part of Road Management Traffic management measures are aimed at improving the safety and flow of traffic, reducing traffic emissions and utilising traffic artery capacity more effectively. PROJECT TRAFFIC ANALYSIS REPORT Florida Department of Transportation District 5 I-95 Interchange at Pioneer Trail Project Development and Environment (PD&E) Study Williamson Boulevard to Turnbull Bay Road Volusia County, Florida Financial Management Number: 436292-1-22-01 ETDM Number: 14193