SOFTWARE, DATA & PROCESSES TO INCREASE ROAD SAFETY IN CITIES
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1 SOFTWARE, DATA & PROCESSES TO INCREASE ROAD SAFETY IN CITIES Timo Hoffmann, PTV Group istockphoto/ Michal Krakowiak
2 THE TRANSPORTATION CHALLENGES OF TODAY AND TOMORROW Transportation Urbanization Planning Insufficient Road Safety road safety Management? Accessibility & Public affordability oftransport transport services Transportation Network / Model Climate Reduction change &of GHG, Noise, GHG, Pollution pollution, noise Traffic Motorization Engineering Traffic Congestion Management Page 2
3 THE TRANSPORTATION CHALLENGES OF TODAY AND TOMORROW Transportation Planning Road Safety Management Public Transport Transportation Network / Model Reduction of GHG, Noise, Pollution Traffic Engineering Traffic Management Page 3
4 GLOBAL PLAN for DECADE of ACTION for ROAD SAFETY City-wide, integrated Safety Management of Road Infrastructure Page 4
5 ROAD INFRASTRUCTURE SAFETY MANAGEMENT EU Directive 2008/EC/96 Black Spot Management Road Safety Inspection (BSM) (RSI) Page 5
6 ROAD INFRASTRUCTURE SAFETY MANAGEMENT Accident Data Black Spot Management Road Safety Inspection (BSM) (RSI) Application of PTV VISUM Safety Page 6
7 INTEGRATED ROAD SAFETY MANAGEMENT PROCESS Page 7
8 INTEGRATED ROAD SAFETY MANAGEMENT PROCESS Page 8
9 INTEGRATED ROAD SAFETY MANAGEMENT PROCESS Page 9
10 INTEGRATED ROAD SAFETY MANAGEMENT PROCESS Page 10
11 INTEGRATED ROAD SAFETY MANAGEMENT PROCESS Page 11
12 INTEGRATED ROAD SAFETY MANAGEMENT PROCESS Page 12
13 INTEGRATED ROAD SAFETY MANAGEMENT PROCESS Page 13
14 EFFICENCY THROUGH NO DATA- AND TOOL BOUNDRIES Page 14
15 INTEGRATED ROAD SAFETY MANAGEMENT Road administrations need to take action. Black Spot Management Look for crash accumulations (black spots). Analyze similarities. (BSM) Find countermeasures Workflow requirements: Crash data road network Analyzing tool Page 15
16 IDENTIFY HIGH PRIORITY AREAS Black Spot Management (BSM) Macro view Small scale high risk sites / hot spots (spots/intersections or lines/road sections) Page 16
17 INTEGRATED ROAD SAFETY MANAGEMENT PROCESS Page 17
18 INTEGRATED ROAD SAFETY MANAGEMENT Road administrations identify need for action. Network Safety Management (NSM) Road traffic planning based on macroscopic safety situation. Ranking of road segments in terms of high risk sections and severity Describing safety potential = areas with promising high crash savings. Workflow requirements: Crash data Road network and model Analyzing tool Page 18
19 IDENTIFY HIGH PRIORITY AREAS Network Safety Management (NSM) Macroscopic view on the entire network Ranking of high risk sections in the jurisdiction 26 accidents 81% slippery road Page 19
20 INTEGRATED ROAD SAFETY MANAGEMENT PROCESS Page 20
21 SAFETY PREDICTION IN INTEGRATED ROAD SAFETY MANAGEMENT Road Safety Impact Assessment Strategic optimization based on safety forecast Assess effects of planning and reconstruction projects on road safety (forecast) Enhance traffic demand modeling by accident prediction models (APM) (RIA) RANKING APM + do nothing scenario Road Network Traffic Forecast ( accident cost, cost-benefit-ratio) Ʃ xxx.xxx /a 1. variant-a - xxx.xxx /a 2. variant-b - xxx.xxx /a 3. variant-c - xxx.xxx /a Page 21
22 ROAD SAFETY IMPACT ASSESSMENT (RIA) Estimation of the effects that changes in the amount and the distribution of traffic volumes have on the road network. Example of new bypass and the impact on safety: increase decrease of accident costs Page 22
23 INTEGRATED ROAD SAFETY MANAGEMENT PROCESS Page 23
24 USES OF CRASH DATA FOR ROAD SAFETY With crash data, the following use cases are possible: Black Spot Management Network Safety Management Consider Safety situation during transportation planning Monitor the effects of treatments in terms of road safety not as easy as it may sound Page 24
25 CONSIDERATION OF THE REGRESSION TO THE MEAN EFFECT KSI KSI Page 25
26 CONSIDERATION OF THE REGRESSION TO THE MEAN EFFECT KSI KSI Page 26
27 INTEGRATED ROAD SAFETY MANAGEMENT PROCESS Page 27
28 SPEED DATA AS ADDITIONAL DATA SOURCE FOR ROAD SAFETY INTELLIGENCE Characteristics of newly available commercial data ( TomTom Custom Travel Times ): Coverage: most streets in Europe ( network-wide ) Time: 15 minute resolution from ~2008 Availability: matter of minutes via web portal Ease of use: custom aggregated and analyzed Page 28
29 USES OF CUSTOM SPEED DATA FOR ROAD SAFETY Possible Use Cases for this kind of speed data for road safety: Comparison of design speeds with actual driving speeds Assess the effect of road infrastructure changes or speed enforcement tactics on the driving speeds at the site and in its vicinity Analyze the general speeding behavior at crash sites where speed is a possible contributing factor Check necessity for posting a general speed limit as opposed to time dependent speed limit changes Calibration of microsimulations to better model the real driving behavior Page 29
30 INTEGRATED ROAD SAFETY MANAGEMENT PROCESS Page 30
31 MICROSIMULATIONS TO ASSESS SAFETY LEVELS Surrogate measures can be used as road safety indicators TTC (time to collision), PET (post encroachment time), deceleration events etc. can be used as surrogates for safety Multimodal simulations incl. pedestrians, bikes, busses, trams, heavy goods vehicles etc. possible Generate safety comparisons between e.g. intersection design alternatives At the same time calculation of regular performance indicators PTV Vissim is world market leader Page 31
32 MACROSCOPIC MODELLING TO SUPPORT SAFER PLANING Assess the effects of road treatments to increase road safety on overall traffic Trend: new performance indicators include Safety Walkability Liveability Mobility choices Page 32
33
34 ROAD SAFETY APPLICATION COVERS ALL LEVELS? RURAL URBAN NSM MACROSCOPIC BSM MICROSCOPIC Page 34
35 LIBERALIZE ROAD SAFETY INTELLIGENCE WORLDWIDE? New Mexico Iran Thailand Italia Columbia Turkey Korea Page 35
36 POTENTIAL OF NEWLY AVAILABLE COMMERCIAL SPEED DATA COMPARISONS OF REGULAR VERSUS ROADWORK SITUATION Page 36
37 FREE FLOW Page 37
38 WORKING DAY MORNING PEAK Page 38
39 FRIDAYS EVENING PEAK Page 39
40 USE OF SPEED DATA FOR CRASH ANALYSIS IN ITALY AREZZO Page 40
PTV VISUM SAFETY SMART SAFETY AND TRAFFIC CONTROL FOR SMART CITIES
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