What can be measured, can also be improved

Transcription

1 What can be measured, can also be improved

2 Zero Vision Trends in casualties, per road user category Accidents

3 more needs to be done

4 Bicycles Pedestrians

5 Follow up? Traffic Safety Mobility Size of investments? How much is spent on following up? Isn t it possible? Do we dare to?

6 Vehicles Bicyclists and pedestrians What do such measurements tell us about traffic safety, interactions and about road design?

7 Traffic safety is based on interactions! deficient interactions conflicts, accidents

8 What is measured, can also be improved Let us measure interactions and behaviour! Quantitatively and automatically!

9 Change in road design Change in behaviour? Before Bicyclists on correct side: 78 % 96 % Pedestrians on correct side: 49 % 79 % After Simple change relatively good effect

10 Pedestrians, Bicyclists & Vehicles measuring behavior & traffic safety Knowledge for Safer Traffic in Smart Cities Amritpal Singh, CEO Viscando Traffic Systems AB Nyborg, Denmark Dec

11 Background Increasing focus on walking and bicycling o o International trend Strong trend in the Nordic countries Measurements have focused on vehicles o o Count and speed Registration over a single line STRADA (Swedish DB on accidents) o o Fantastically useful but slow and reactive Automatic measurements beyond counting? Data for pro-active measures?

12 Three Situations 1. Pedestrians between bus stop and super market Herkulesvägen, Jönköping

13 Three Situations 2. Yield behaviour for bicyles and pedestrians Hagaleden, Jönköping

14 Three Situations 3. Traffic conflicts at a round-about for bicyles Kaptensgatan/Storgatan, Malmö

15 Three situations

16 Technology Tracking Classification 3D Stereo Vision Analysis

17 What is registered?

18 Pedestrian behavior between a bus stand and a super market Measurements done at Herkulesvägen, Jönköping

19 Background Why this place o Bus stop super market o Zebra crossing far away (> 100 m) o Seen people walking across the road Project o How many people cross the road o What path choices are made o Speed of passing vehicles Measurements o Thursday April o Time: 10:00 18:00 Pedestrian between bus stop & super market Herkulesvägen, Jönköping

20 Pedestrian behaviour persons/hour Vehicle speeds Average: 28 km/h 85-perc: 34 km/h

21 Interpretation Results compared to expectations o Negative: Extent greater than expected. o Positive: More than expected people use public transport! Context o The area is under strong development o Number of people will increase with time Conclusion o Better ways to cross the road must be arranged o Move the bus stop? o New zebra crossing? Pedestrians between bus stop & super market Herkulesvägen, Jönköping

22 Yield behavior at a bicycle and pedestrian crossing Measurements at Hagaleden, Jönköping

23 Background Why here o One of the main bicycle paths to the city center o Was redesigned in 2013 o Improved mobility for bicyclists Assignment o Count all traffic o Vehicle speed compare with earlier measurements o QUESTION: Is it possible to quantify yield-behaviour? Measurements o June , 15:30 20:30 Yield Road behaviour design before 2013 Hagaleden, Jönköping Hagaleden, Jönköping

24 Hagaleden: Yield behaviour at a crossing Extract vehicle speeds in two situations: 1. No vulnerable road user close to or in the crossing 2. At least one bicyclist/pedestrian close to or in the crossing

25 Yield behavior: Method Bicyclists Pedestrians Filter out VRUs crossing the road For each VRU o Find vehicles approaching the crossing Analyze speeds o Vehicles: No VRU o Vehicles: Crossing bicyclists/pedestrian Handle bicycles and pedestrians separetely o Difference in speed o Difference in regulation

26 Yield behavior: Results Vehicles: crossing pedestrians Vehicles: crossing bicycles

27 Automatic analysis of conflicts Measurements done at Kaptensgatan/Storgatan, Malmö

28 Round about for bicycles, Malmö

29 Movement pattern Bicyclists Storgatan Pedestrians Kaptensg södra Kungsgatan Kaptensg norra

30 Taking shortcuts

31 Round about? 38 (4%) 0% 100% 744 (81%) 915 (100%) 95% 5% 133 (15%) 2% 98%

32 Right turns How many fails to keep their track while turning

33 Right turn from Kungsgatan 11% (39) 89% (303) Kungsgatan Based on 342 registrations

34 Detect conflicts Find all positions where two tracks cross Conflict o Tracks cross each other within x seconds (x=1 second) o Tracks have an angle of at least y degrees (y=60 degrees) Count conflicts o Divide the whole area in 1m-by-1m squares o Count conflicts in each square o Neighbouring squares with conflicts attach to larger areas Visualize o Number of conflicts o (Number of conflicts) / (number of road users)

35 Conflict areas bicycle - bicycle pedestrian - pedestrian bicycle - pedestrian

36 Concflicts: when in time? Total number of conflicts Conflicts per road user Worst case: 1 out of 10 participates in a conflict

37 Traffic: Hour-per-hour

38 What can be measured, can also be improved

39 It is possible to measure interactions & behavior! Quantitatively and automatically!

40 Thank you for your attention Amritpal Singh

41 Hur vi mäter och varför det fungerar

42 Metod Tracking Klassificering 3D Stereo Vision Analys

43

44 Varför 3D? Uppfattning av djup Svåra ljusförhållanden

45 Vad registreras?

46 Vad blir möjligt Fotgängare, cyklister och fordon Flödesmätningar: antal, hastigheter Framkomlighet o o o Hinder i gatuutformningen Trafikanter i vägen för varandra Stopptider vid t.ex. trafiksignaler Trafiksäkerhet o o Väjningsbeteenden Kvantitativt mäta konflikter Underlag till miljö- och bullerpåverkan Trafiksimuleringar o Data som input o Data för validering

47 Automatisk flödesmätning fotgängare, cyklister och fordon Visar exakt hur trafikanter rör sig genom trafikområdet Fotgängare Cyklister Fordon