Traffic Safety Criteria Traffic safety on a road is related to the number of vehicles using a road section (SWOV 2006). The risk of accidents increases as more traffic is driving on a road section. General statement: ‘Less traffic, same risk, less victims’ (Wegman 2004) To assess the effects of a measure on traffic safety three indicators will be used. Based on the general statement above, the combination of traffic (intensities) and risk (key figures in number of serious accidents1), the accident density can be calculated. Thereby two major influencing criteria from Dijkstra and Drolenga (2007) are taken, the number of left turns and the junction density. The traffic safety will be measured at the Waalbrug and at the Singels (directly after Traianusplein, direction south). This is the main focus area and these two road section could have different effects of the taken measures. For infrastructural designs the two indicators from Dijkstra and Drolenga will be used to compare the new situation with the old situation. Accident Density Accident density is the number of accidents per year per kilometer per road section. This takes in account the number of accidents, the road length and the number of motor vehicles that pass along it. (Janssen, 2005) When the intensities (and road features) of the various road sections on a route are known, the accident density can be calculated using a model. First the level of exposure will be calculated, expressed in millions of vehicle kilometres driven in a year. VPi = Li * Ii * 365 year VPi = Level of exposure of road section i in vehicle kilometres driven per Li = the length of the road section I in km Ii = is the daily volume for road section i The expected number of serious accidents, Accident Density on road section i can be estimated by multiplying the level of exposure VPi by the associated key figure Ki of the road section. The key figures Ki are shown in Tabel 1. LOi = Ki * VPi LOi = Expected number of serious accidents (Accident Density) Ki = Key figure of road section Road with speed limit in kph 30 1 Key figures in number of serious accidents per billion motor vehicle km 122 Serious accidents: accidents with fatalities and serious casaulties 50 70 272 12 Tabel 1 Key figures for three road types (Janssen, 2005) In these key figures, number of serious accidents per one billion vehicle kilometre, is the risk at junctions taken into account. This is why the figure for 50 km/h is 20 times higher then for 70km/h. This following graph of the above showed linear accident density function shows the direct relation of intensity and traffic safety. Picture 1 Expected number of serious accidents Because of comparing different road sections with different lengths the density is used. By calculating the density, the length of the road section is left out of the formula. The accident density can be estimated as follows: Accident Density = Ki * VPi * 365 / 1.000.000.000 The accident density is per kilometer, therefore everything is divided by one billion because of the Ki value is per billion motor vehicle km. The sensitivity of the accident density is low, a substantial change in intensity, 1.000 cars less, will effect the expected number of serious accidents with only 0,1. There the estimated values for the VPi are averages from a model for 2020, the absolute changes of the accident density of less then 1% are considered as marginal. The ordinal scale to asses the accident density is: % Change % change > 1% -1 % % change 1% % change < -1 % Tabel 2 Ordinal scale accident density Ordinal scale value + 0 - Infrastructure criteria To quantify the traffic safety of different routes, Dijkstra & Drolenga (2007) came up with nine criteria to asses these routes. These criteria are: 1. Number of transitions between road categories limited. An optimum sustainable safety route diagram hast the right number of category transitions. The largest part of the route must be made at a highest category, through road. 2. Nature of the transition is correct. The correct transition van Access road to distributor road to through road and backwards. 3. As few missing road categories as possible. The number of road categories encountered in a route, in relationship to the number of road categories present in the network. 4. Proportion (in length) of access roads as low as possible. 5. Proportion (in length) of distributor roads as low as possible. 6. Travel distance. The smaller the total distance travelled on a route, the less risk to which a vehicle is exposed. 7. Travel time. The free flow travel time, the shorter the travel time on route, the better is the route. 8. As few turnings as possible across oncoming traffic. The number of left turns at junctions. Because turning left is seen as the most dangerous manoeuvre (Drolenga, 2005). 9. Low junction density on distributor road. The route’s potential for disruption. Where Dijkstra and Drolenga (2007) these criteria applied to different routes, in this case these criteria will be applied to different measures to compare the current and the future situation. The measures will not affect the first seven criterions and so these will be skipped. The criteria are applied to the infrastructural designs, which are changed in comparing with the current situation. In the other situation, measures without any infrastructural change, this criteria will state the same. An easy ordinal scale to asses the future will be applied for both criterion and compared with the current situation. Compared with current situation Less crossings/Left turns Same crossings/left turnes More crossings/left turns Tabel 3 Ordinal scale Left turn and crossing criteria Scale + 0 - Measure 1 AC - Waalbrug AC - Singels # Left Turns # Crossings Current Situation 6,19 4,42 Future Situation 6,19 4,42 % Change Value 0,00 % 0,00 % 0 0 0 + Current Situation 6,19 4,42 Future Situation 6,17 4,39 % Change Value -0,32 % -0,58 % 0 0 0 0 Current Situation 6,19 4,42 Future Situation 6,19 4,40 % Change Value 0,00 % -0,45 % 0 0 0 0 Measure 2 AC - Waalbrug AC - Singels # Left Turns # Crossings Measure 3 AC - Waalbrug AC - Singels # Left Turns # Crossings