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Proposed alternative to assist
current overload operations in
South Africa
4 July 2016
Arno de Coning
Post graduate student
Presentation overview
• Introduction
• Deficiencies in existing overload control measures
• The role of law enforcement
• Verification of the nature of current overload behaviour
• Discussion of results
• Incentivising road users to become compliant
• Proposed improved overload control system
• Conclusion and recommendations
• Acknowledgements
Introduction
• Overload used for general road management
• Minimize damaging effects on the road
• Impact of the overloaded vehicles is not limited to road surfaces but
have large economic impact as well
• Current procedures can cause delays for legal vehicles
• Some extreme cases can some vehicles to bypass
• Deliberate bypassing can take place
Introduction
• Overload may occur to increase competitive edge
• Industries have multiple approaches to reconcile productivity with
overload compliance and vehicle design
• Road Transport Management System (RTMS) for self regulation as
an example
• Objective to lower illegal activity and increase accuracy of overload
control and minimize large economic impact on road infrastructure
Deficiencies in existing overload control measure
• Lack of uniformity across different region
• Lack of integration of subsystems
• Traffic control centres (TCCs):
– Static scales
– Weigh-in-motion (WIM) – High Speed(HS) and Low Speed (LS)
– Screener lanes
– Traffic officials with alarm and image based system from the WIM
– Automated Number Plate Recognition (ANPR)
– Piezo-electric vehicle counters and axle configuration identifiers
– Radio Frequency Identification (RFID)
– Manual enforcement
Deficiencies in existing overload control measure
• Pros and Cons of common TCC configuration
• Static scale used in isolation
– Legally and illegally load vehicles forced to visit static scale
• Combined WIM and static scale
– Threshold can cause multiple reweighs of vehicles loaded close to the
legal limit
– Illegal vehicles can evade the operation and traffic officials may miss the
vehicles trying to evade the system
• Screener lane WIM
– Help prevent vehicles not driving over WIM
– Can still drive incorrectly over the WIM
– If no officials are present this can go unnoticed
Deficiencies in existing overload control measure
• ANPR cameras
– Over all lanes can be linked to eNATIS
– Loopholes if illegal number plates
• RFID at the WIM
– Higher levels of integrity of linking vehicles
– Need RFID tag deployment over entire vehicle population
• Limitation do occur with each configuration
• WIM screener lane, ANPR for non-compliance, and static scale
currently most effective
Role of law enforcement
• TCC are in some form dependent on manual supervision and
enforcement
• Road agencies and toll road operators suffer when enforcement is
lacking
• Common occurrences
– Traffic officials at WIM cubicle wrongly identify vehicle that triggered the
WIM
– Daily quota reached as soon as possible
– Overloaded vehicles in some cases bribe officials
– Vehicle ignore the WIM signaling and official may not pursue the vehicle
on route
Role of law enforcement
• Traceability of actions of the traffic officials and no formal record of
systematic law enforcement evasion by specific fleet of vehicles
• Stationed officials can have difficulty identifying WIM triggered
vehicle
• Reach daily quota as soon as possible
• Financial gain can take place when a vehicle has been declared
overloaded
• Official dispatched in some cases are hesitate to pull off vehicles
when a HSWIM is triggered, or they can pull off these vehicles and
accept bribes to not impound the vehicle
Verification of the nature of current overload
behaviour
• Lack of economic incentives to comply
• Limitation of current technology integration
• Non usage of systems that are in place
• Self-enrichment opportunities
Verification of the nature of current overload
behaviour
• Verification of the extent of these issues need to be investigated
before a proposal for improved overload control can be made
• Historical data analysis is conducted
– Behavior of road user during certain periods of the day
– Performance of existing overload control systems
• Data represented
– Durban to Johannesburg
– Johannesburg to Beitbridge
Discussion of results
• Vehicle movement as function of time of day
• 40 to 80% of traffic is heavy vehicles between 19:00 and 07:00
Discussion of results
• Overloaded statistics for eight (8) WIM stations
• 78 to 82% of heavy vehicles weighed
• 7 to 9% was overloaded
0
1000000
2000000
3000000
4000000
5000000
6000000
7000000
8000000
0.0
10.0
20.0
30.0
40.0
50.0
60.0
70.0
80.0
90.0
2013 2014 2015
Percentage
Years
Total vehicles weighed Total vehicles not overloaded
Percentage Weighed Heavy vehicles Percentage of Overloaded of Weighed Vehicles
Discussion of results
• Current TCCs with WIM and static scale lack a reliable linking
method that triggered WIM vehicle and if it was spotted at static
scale
– Static scale data can be analyzed
– WIM triggered at a 10% threshold and fully functional
– Static scale should have vehicles within the 10% threshold in an ideal
situation
– Vehicles did not trigger the threshold was incorrectly directed to the
static scale
Discussion of results
• Static scale visits that could have triggered the WIM
• 60% of statically weighed vehicles should most likely not have triggered the
WIM
Discussion of results
• Triggered WIM that was overloaded
• 90% of WIM triggers were not overloaded
Discussion of results
• Analysis of WIM and static scale data to determine if the vehicle
likely triggered the threshold
– These vehicles would not voluntary visit the static scale
– Directed deliberately to the static scale for daily quotas
– Prove of inefficiencies in the system
• Isolation of TCC static data to the next scale will ensure a repeat
weigh
• 6 to 8 reweighs can potentially occur from Durban to Beitbridge
Discussion of results
• Heavy vehicles (fly by night) tend to travel after hours when traffic
officials presence is low
• On average 9% of vehicles weighed by the WIM is overloaded
• Around 30 to 40% of vehicles weighed at the static scale should
have been directed to the scale
• Around 10% of vehicles that should be directed to the static scale
was overloaded
• 3 to 4 % of vehicles were overloaded
Incentivising road users to become compliant
• Overload control in some cases are ineffective and penalizes
compliant road users without deterring road users to break the law
for financial gain
• RTMS self-regulation used as starting point towards preferential
treatment and proved successful in specific industries with effective
enforcement
• Efficient system can grant tangible benefits to compliant road users,
implement severe penalties for offenders and increase traceability of
law enforcement
• Effective way to differentiate between compliant and non compliant
road users
Proposed improved overload control system
• Phase 1
– Extended system of certification of compliant heavy vehicle operators
– RFID tagging of vehicles
– RFID readers to identify certified vehicles at WIM and ANPR
identification on non-WIM lanes
– Integrate WIM scales with some level of intelligence
– Automated directing of vehicles with booms if WIM was triggered
– Uncertified vehicles can be seen as a high risk
– Link with vehicles with eNATIS if they evade WIM lane
– A task force can be used when an illegal number plate or overloaded
vehicle is detected
– Long term track record can be determined and compliant behavior of
certified users can gain preferential treatment
Proposed improved overload control system
• Phase 2
– Road user internal scales certification
– GPS tracking integration to provide summary of movement from internal
weigh to final destination
– Electronic declaration before dispatch of origin and destination, intended
route, nature of the load, and TCC to be passed
– Combined electronic dispatch with GPS data can determine overload
risk
– GPS data to determine when the vehicle traveled past a TCC and verify
by WIM or ANPR on which lane they traveled
– Reconcile WIM and static scale measurements with submitted weights
– GPS based electronic tolling to deter vehicles to take secondary routes
Conclusions and recommendations
• Deficient in some respects
• Non-uniform configuration at different TCCs
• Loop holes in the system to exploit
• Lack of integration and information sharing between TCC and stand
alone WIM sites
• Proposed alternatives to have a more uniform design of control
infrastructure, integration of datasets, incentives for compliant road
users, and on-going real time system supervision
• Increase automation with a dedicated task force
Future work
• Complete pilot site installations
• Overcome resistance to change
• Intelligence development for the TCCs from historic data and pilot
sites
• Benefit quantification for multiple stakeholders
– Road agencies
– Transporter / Road users
– Toll concessionaires
• Implementation cost analysis
• Full cost benefit analysis for multiple stakeholder
Acknowledgement
• SANRAL
• Mikros Gauteng
• Mikros KZN
• KZN DOT
• CSIR
Questions?
Thank you

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Proposed alternative to assist current overload operations in South Africa

  • 1. Proposed alternative to assist current overload operations in South Africa 4 July 2016 Arno de Coning Post graduate student
  • 2. Presentation overview • Introduction • Deficiencies in existing overload control measures • The role of law enforcement • Verification of the nature of current overload behaviour • Discussion of results • Incentivising road users to become compliant • Proposed improved overload control system • Conclusion and recommendations • Acknowledgements
  • 3. Introduction • Overload used for general road management • Minimize damaging effects on the road • Impact of the overloaded vehicles is not limited to road surfaces but have large economic impact as well • Current procedures can cause delays for legal vehicles • Some extreme cases can some vehicles to bypass • Deliberate bypassing can take place
  • 4. Introduction • Overload may occur to increase competitive edge • Industries have multiple approaches to reconcile productivity with overload compliance and vehicle design • Road Transport Management System (RTMS) for self regulation as an example • Objective to lower illegal activity and increase accuracy of overload control and minimize large economic impact on road infrastructure
  • 5. Deficiencies in existing overload control measure • Lack of uniformity across different region • Lack of integration of subsystems • Traffic control centres (TCCs): – Static scales – Weigh-in-motion (WIM) – High Speed(HS) and Low Speed (LS) – Screener lanes – Traffic officials with alarm and image based system from the WIM – Automated Number Plate Recognition (ANPR) – Piezo-electric vehicle counters and axle configuration identifiers – Radio Frequency Identification (RFID) – Manual enforcement
  • 6. Deficiencies in existing overload control measure • Pros and Cons of common TCC configuration • Static scale used in isolation – Legally and illegally load vehicles forced to visit static scale • Combined WIM and static scale – Threshold can cause multiple reweighs of vehicles loaded close to the legal limit – Illegal vehicles can evade the operation and traffic officials may miss the vehicles trying to evade the system • Screener lane WIM – Help prevent vehicles not driving over WIM – Can still drive incorrectly over the WIM – If no officials are present this can go unnoticed
  • 7. Deficiencies in existing overload control measure • ANPR cameras – Over all lanes can be linked to eNATIS – Loopholes if illegal number plates • RFID at the WIM – Higher levels of integrity of linking vehicles – Need RFID tag deployment over entire vehicle population • Limitation do occur with each configuration • WIM screener lane, ANPR for non-compliance, and static scale currently most effective
  • 8. Role of law enforcement • TCC are in some form dependent on manual supervision and enforcement • Road agencies and toll road operators suffer when enforcement is lacking • Common occurrences – Traffic officials at WIM cubicle wrongly identify vehicle that triggered the WIM – Daily quota reached as soon as possible – Overloaded vehicles in some cases bribe officials – Vehicle ignore the WIM signaling and official may not pursue the vehicle on route
  • 9. Role of law enforcement • Traceability of actions of the traffic officials and no formal record of systematic law enforcement evasion by specific fleet of vehicles • Stationed officials can have difficulty identifying WIM triggered vehicle • Reach daily quota as soon as possible • Financial gain can take place when a vehicle has been declared overloaded • Official dispatched in some cases are hesitate to pull off vehicles when a HSWIM is triggered, or they can pull off these vehicles and accept bribes to not impound the vehicle
  • 10. Verification of the nature of current overload behaviour • Lack of economic incentives to comply • Limitation of current technology integration • Non usage of systems that are in place • Self-enrichment opportunities
  • 11. Verification of the nature of current overload behaviour • Verification of the extent of these issues need to be investigated before a proposal for improved overload control can be made • Historical data analysis is conducted – Behavior of road user during certain periods of the day – Performance of existing overload control systems • Data represented – Durban to Johannesburg – Johannesburg to Beitbridge
  • 12. Discussion of results • Vehicle movement as function of time of day • 40 to 80% of traffic is heavy vehicles between 19:00 and 07:00
  • 13. Discussion of results • Overloaded statistics for eight (8) WIM stations • 78 to 82% of heavy vehicles weighed • 7 to 9% was overloaded 0 1000000 2000000 3000000 4000000 5000000 6000000 7000000 8000000 0.0 10.0 20.0 30.0 40.0 50.0 60.0 70.0 80.0 90.0 2013 2014 2015 Percentage Years Total vehicles weighed Total vehicles not overloaded Percentage Weighed Heavy vehicles Percentage of Overloaded of Weighed Vehicles
  • 14. Discussion of results • Current TCCs with WIM and static scale lack a reliable linking method that triggered WIM vehicle and if it was spotted at static scale – Static scale data can be analyzed – WIM triggered at a 10% threshold and fully functional – Static scale should have vehicles within the 10% threshold in an ideal situation – Vehicles did not trigger the threshold was incorrectly directed to the static scale
  • 15. Discussion of results • Static scale visits that could have triggered the WIM • 60% of statically weighed vehicles should most likely not have triggered the WIM
  • 16. Discussion of results • Triggered WIM that was overloaded • 90% of WIM triggers were not overloaded
  • 17. Discussion of results • Analysis of WIM and static scale data to determine if the vehicle likely triggered the threshold – These vehicles would not voluntary visit the static scale – Directed deliberately to the static scale for daily quotas – Prove of inefficiencies in the system • Isolation of TCC static data to the next scale will ensure a repeat weigh • 6 to 8 reweighs can potentially occur from Durban to Beitbridge
  • 18. Discussion of results • Heavy vehicles (fly by night) tend to travel after hours when traffic officials presence is low • On average 9% of vehicles weighed by the WIM is overloaded • Around 30 to 40% of vehicles weighed at the static scale should have been directed to the scale • Around 10% of vehicles that should be directed to the static scale was overloaded • 3 to 4 % of vehicles were overloaded
  • 19. Incentivising road users to become compliant • Overload control in some cases are ineffective and penalizes compliant road users without deterring road users to break the law for financial gain • RTMS self-regulation used as starting point towards preferential treatment and proved successful in specific industries with effective enforcement • Efficient system can grant tangible benefits to compliant road users, implement severe penalties for offenders and increase traceability of law enforcement • Effective way to differentiate between compliant and non compliant road users
  • 20. Proposed improved overload control system • Phase 1 – Extended system of certification of compliant heavy vehicle operators – RFID tagging of vehicles – RFID readers to identify certified vehicles at WIM and ANPR identification on non-WIM lanes – Integrate WIM scales with some level of intelligence – Automated directing of vehicles with booms if WIM was triggered – Uncertified vehicles can be seen as a high risk – Link with vehicles with eNATIS if they evade WIM lane – A task force can be used when an illegal number plate or overloaded vehicle is detected – Long term track record can be determined and compliant behavior of certified users can gain preferential treatment
  • 21. Proposed improved overload control system • Phase 2 – Road user internal scales certification – GPS tracking integration to provide summary of movement from internal weigh to final destination – Electronic declaration before dispatch of origin and destination, intended route, nature of the load, and TCC to be passed – Combined electronic dispatch with GPS data can determine overload risk – GPS data to determine when the vehicle traveled past a TCC and verify by WIM or ANPR on which lane they traveled – Reconcile WIM and static scale measurements with submitted weights – GPS based electronic tolling to deter vehicles to take secondary routes
  • 22. Conclusions and recommendations • Deficient in some respects • Non-uniform configuration at different TCCs • Loop holes in the system to exploit • Lack of integration and information sharing between TCC and stand alone WIM sites • Proposed alternatives to have a more uniform design of control infrastructure, integration of datasets, incentives for compliant road users, and on-going real time system supervision • Increase automation with a dedicated task force
  • 23. Future work • Complete pilot site installations • Overcome resistance to change • Intelligence development for the TCCs from historic data and pilot sites • Benefit quantification for multiple stakeholders – Road agencies – Transporter / Road users – Toll concessionaires • Implementation cost analysis • Full cost benefit analysis for multiple stakeholder
  • 24. Acknowledgement • SANRAL • Mikros Gauteng • Mikros KZN • KZN DOT • CSIR