1. ATMS Advanced Traffic Management Systems

2. ATMS Intent of ATMS: –Improve operational control –Adapt control strategies to current/expected traffic –Provide marginal improvements to system capacity or throughput –Reduce congestion / delay / queues

3. ATMS Requires Control mechanism Surveillance function Communications Data manipulation Control algorithm Maintenance function

4. ATMS Requires Control mechanism –Stop lights –Barriers –Traveler information? How DO you control traffic on a “freeway”?

5. ATMS Requires Surveillance function –Loops –Cameras As data As images –Other Radar Vehicle probe data

6. ATMS Requires Communications –To obtain the surveillance data, and –Request required control system changes

7. ATMS Requires Data manipulation –What exactly do you do with the data you have? Decision support systems –Data fusion Using data from multiple sensors

8. ATMS Requires Control algorithms –Old Time of day Fixed volumes –New Adaptive Real time volumes Predictive (in time or space)

9. ATMS Requires Maintenance of the system –Operational systems need a higher level of maintenance than simple infrastructure –Fail safe operational requirements –How much data is enough? 1 of 4 lanes? What spacing of detection?)

10. ATMS Requires (?) Optional functions –data collection –storage, and –performance monitoring / operations planning

12. Examples of TMS Freeway systems –Ramp metering Fixed time Local adaptive System level adaptive control –Routing –Adaptive speed control

13. Examples of TMS Arterials Control Systems –Actuated & semi-actuated control –SCOOT –SCATS –OPAC –RT-TRACS –(NSATMS) –RHODES

14. Examples of ATMS Automated toll collection Parking systems Emergency response

15. Ramp Metering Objectives: –Reduce conflicts at ramp terminals –Decrease merge congestion –Reduce accident rates –Encourage diversion to/from specific ramps –Limit total volume on specific freeway segments at specific times

16. Ramp Metering Objective: Maintain flow at maximum levels by –Preventing flow break down –Increase total hourly throughput by maintaining throughput –Improve speed of incident recovery –Promote/deny specific movements

17. Ramp Metering Minimize air pollution emissions and gasoline consumption by reducing stop and start movements Minimize ramp delays while maintaining mainline flow Minimize queue spillback onto arterials

18. Ramp Metering Maximize freeway flow and freeway performance is contradictory to Minimize ramp queues and ramp delays

20. Ramp Metering Keys to successful operation –Know the maximum volume that can use each ramp Current local mainline volume Future local mainline volume (upstream volume) Downstream congestion Finding the correct balance between ramp queue and freeway delay

21. Ramp Metering Know the Volume –Needs surveillance On the mainline –Approaching the merge point –Upstream of the merge –Downstream of the merge By the stop bar on the ramps Queue length Advanced queue detection

23. Ramp Metering Bring the data back to a central point This allows decisions to be made given geographic areas larger than “locally” Also allows data storage for later review / analysis

24. Ramp Metering Local control –minimize merge conflict Bottleneck algorithm –maximize ramp queue, given no current downstream freeway delay Fuzzy Neural Network –trade off ramp queues against mainline flow –avoids direct use of volume

25. Freeway ATMS – Route Control Move vehicles to those routes with spare capacity –Operational concerns Are there parallel routes with spare capacity? Are there routes (ramps) where merging causes less disruption? Will the diversion cause more congestion than it will relieve?

26. Freeway ATMS – Route Control Route Diversion –Political concerns - what are the impacts of route diversion? Are the new routes designed for that traffic? Are there concerns about who benefits / loses? Do the people/businesses that live along those routes object to their use by “pass through” traffic?

27. Freeway ATMS – Route Control Technical – How do you cause drivers to divert? What route do they take? –Traveler information (VMS / CMS / HAR / radio) –Metering (fast versus slow) –Ramp closures –New technology (PDA messages) –Can you manage how many vehicle change routes? Many drivers won’t change routes

28. Surveillance

29. Is necessary to manage traffic Without surveillance, there is no knowledge of what is occurring

30. Surveillance Technologies Loops Cameras Other technologies –Radar –Acoustic –Infrared –Other

31. Inductance Loop

32. Loops Advantages –Inexpensive –Easy to install –Well known attributes / mechanics –Provide Volume Lane occupancy Speed (sometimes) Vehicle classification

33. Loops Disadvantages –Single location (non-movable) –Subject to pavement failure / degradation –Not good if channelization is likely to change –Difficult to collect vehicle classification data Dual loops Inductance signature recognition

34. Cameras Two basic technologies –Video –Digital image processing

35. Pan/Tilt/Zoom Camera

36. Cameras Conventional video –Needs a person watching Great for short time period Poor for longer time periods –Good for incident verification –Good for public information –Not good for routine data collection

37. Cameras Digital Image Processing –Reasonably new technology (+15 years at a reasonable price) –Several different technologies –Each with different costs / capabilities

38. Cameras Autoscope - style –A US vendor – early adopter –Uses low cost, fixed cameras –Acts like a digital loop –Has limitations in bad weather / lighting

39. Cameras Other digital image processing –Movable cameras Harder to calibrate More expensive cameras Multi-use cameras –Vehicle tracking systems Travel times License plate readers

40. Other Technologies Radar –Side fired / Over-head mounted –Data similar to loops –A non-intrusive sensor (easier to access) Acoustic –Also a non-intrusive sensor

41. Other Technologies Infrared –Both with reflector and without reflector –Non-intrusive –Not effected by weather Other –RF for electronic tag reading –Surface acoustic wave (SAW) for tag reading –Optical scanners (bar codes)

42. Other Technologies http://www.nmsu.edu/~traffic/ Summary of Vehicle Detection and Surveillance Technologies Used in Intelligent Transportation Systems - Detector Handbook (under What’s New)Summary of Vehicle Detection and Surveillance Technologies Used in Intelligent Transportation Systems - Detector Handbook

43. Surveillance When choosing surveillance system / technology –Type of data collected –Cost of data collection –Accuracy of data collected –Reliability of equipment –Frequency of communications –Flexibility

44. Type of Data Volume Vehicle presence Lane occupancy Vehicle classification Vehicle speed / travel time Weight ID Other (location? status? revenue?)

45. Cost of System Purchase Installation Operation Maintenance

46. Cost Purchase price –Sensor –Electronics –Communications –Software –License? (How many can you use?)

47. Cost Installation location effects cost –In ground –Below ground –Pole mounted –Bridge mounted Need for traffic control? Communications Power Cabinets

48. Cost Operations –Power –Communications Bandwidth required Wireless / wireline Frequency of communications –Staff oversight

49. Cost Maintenance –Mean time before failure (life cycle costs) –Routine maintenance requirements –External effects Bad weather Deteriorated pavement conditions –Replacement parts (sole source?) –Ease of sensor replacement

50. Accuracy How important is it? –Can you accept small errors? Volume +5% Speed + 3 mph Error in reading Toll tags? Classification of truck It depends

51. Reliability What happens if a data point is missing? –Once –Frequently –Consistently but intermittently –Completely Fail safe design Graceful failure design

52. Reliability To get better reliability –Purchase better equipment (price / warranty) –Build redundantly –Buy equipment designed for the environment it will be placed in Must trade off against cost

53. Communications How often does data get transmitted from –Sensor –Location

54. Communications Frequency of communications –Each activation? –Each second –20 seconds –5 minutes –15 minutes –Hourly –Daily

55. Communications Size of data packet –Summary statistic –Raw data For example –Digital image of picture –Analog image of picture –Count of cars made from picture –Count of cars made from 15 minutes of pictures

56. Communications Must select communications strategy based on –Control system data need –Cost of bandwidth Installation Operation –Redundancy / reliability