Transcript ATMS - California Polytechnic State University
ATMS
Advanced Traffic Management Systems
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
ATMS Requires
• Control mechanism • Surveillance function • Communications • Data manipulation • Control algorithm • Maintenance function
ATMS Requires
• Control mechanism – Stop lights – Barriers – Traveler information?
• How DO you control traffic on a “freeway”?
ATMS Requires
• Surveillance function – Loops – Cameras • As data • As images – Other • Radar • Vehicle probe data
ATMS Requires
• Communications – To obtain the surveillance data, and – Request required control system changes
ATMS Requires
• Data manipulation – What exactly do you do with the data you have?
• Decision support systems – Data fusion • Using data from multiple sensors
ATMS Requires
• Control algorithms – Old • Time of day • Fixed volumes – New • Adaptive • Real time volumes • Predictive (in time or space)
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?)
ATMS Requires (?)
• Optional functions – data collection – storage, and – performance monitoring / operations planning
Examples of ATMS
• Freeway systems – Ramp metering • Fixed time • Local adaptive • System level adaptive control – Routing – Adaptive speed control
Examples of ATMS
• Arterials Control Systems – Actuated & semi-actuated control – SCOOT – SCATS – OPAC – RT-TRACS – (NSATMS) – RHODES
Examples of ATMS
• Automated toll collection • Parking systems • Emergency response
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
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
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
Ramp Metering
Maximize freeway flow and freeway performance is contradictory to Minimize ramp queues and ramp delays
A Ramp 1 B Ramp 2 C Ramp 3 D
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
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
A Ramp 1 B Ramp 2 C Ramp 3 D
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
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
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?
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?
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
Surveillance
Surveillance
• Is necessary to manage traffic • Without surveillance, there is no knowledge of what is occurring
Surveillance Technologies
• Loops • Cameras • Other technologies – Radar – Acoustic – Infrared – Other
Inductance Loop
Loops
• Advantages – Inexpensive – Easy to install – Well known attributes / mechanics – Provide • Volume • Lane occupancy • Speed (sometimes) • Vehicle classification
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
Cameras
• Two basic technologies – Video – Digital image processing
Pan/Tilt/Zoom Camera
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
Cameras
• Digital Image Processing – Reasonably new technology (+15 years at a reasonable price) – Several different technologies – Each with different costs / capabilities
Cameras
• Autoscope - style – A US vendor – early adopter – Uses low cost, fixed cameras – Acts like a digital loop – Has limitations in bad weather / lighting
Cameras
• Other digital image processing – Movable cameras • Harder to calibrate • More expensive cameras • Multi-use cameras – Vehicle tracking systems • Travel times • License plate readers
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
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)
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)
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
Type of Data
• Volume • Vehicle presence • Lane occupancy • Vehicle classification • Vehicle speed / travel time • Weight • ID • Other (location? status? revenue?)
Cost of System
• Purchase • Installation • Operation • Maintenance
Cost
• Purchase price – Sensor – Electronics – Communications – Software – License? (How many can you use?)
Cost
• Installation location effects cost – In ground – Below ground – Pole mounted – Bridge mounted • Need for traffic control?
• Communications • Power • Cabinets
Cost
• Operations – Power – Communications • Bandwidth required • Wireless / wireline • Frequency of communications – Staff oversight
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
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
Reliability
• What happens if a data point is missing?
– Once – Frequently – Consistently but intermittently – Completely • Fail safe design • Graceful failure design
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
Communications
• How often does data get transmitted from – Sensor – Location
Communications
• Frequency of communications – Each activation?
– Each second – 20 seconds – 5 minutes – 15 minutes – Hourly – Daily
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
Communications
• Must select communications strategy based on – Control system data need – Cost of bandwidth • Installation • Operation – Redundancy / reliability