Vehicle Classification – The direction to Fair Tolling
Toll roads, bridges and tunnels, which motorists be forced to pay a charge to make use of, bypass busy areas to help ease traffic jam, generate funds for road upkeep and repair, and frequently provide substantial revenues for governments and companies. Highly advantageous within the primary, toll roads present a distinctive group of problems connected using the assortment of the right tolls from users.
Toll collection techniques
Toll collection techniques fall under two groups, free flowing where traffic flow isn’t affected and non-free flowing where vehicles stop or slow to pay for the toll. The option of toll collection technology have a significant effect on the efficiency from the toll collection process.
Efficient toll collection
Toll collection efficiency compares the quantity of toll revenue collected to the price of collection. The toll road operator wants to make sure that the utmost revenue is collected. Their clients, the motorists, want free flowing traffic with no delays. For that operator these sometimes-conflicting needs happen to be resolved by favouring toll collection over traffic flow. Many of the true with non-free flowing systems.
As traffic density boosts the balance changes. Toll collection lanes and booths may find it difficult to handle peak volumes leading to reduced revenues and frustrated customers. Automating the toll collection process, therefore it becomes free flowing, can frequently be the most affordable solution. However, free flowing toll collection requires systems which will perform checks an operator finds easy however that present significant technological challenges.
Toll charges according to vehicle type
Most toll charges vary based on vehicle type the larger it’s the more the motive force will get billed. Visually examining the vehicle an operator knows which category an automobile falls into, whether it features a trailer and which weight band chances are it will fall under. Two vehicles coming together can be simply distinguished from one vehicle having a trailer, along with a car having a roof box won’t be mistaken for any commercial vehicle.
Automated toll collection is determined by systems that precisely and reliably perform these checks and classifications at high-speed. They have to perform during the night, in poor climate conditions, and should deal with others that find out the vehicle so the correct toll could be collected in the vehicle operator.
Laser-based classification systems
Advances in laser technology and reliability have brought to systems which use lasers to develop a 3-dimensional type of each vehicle entering the tolling area. Three lasers mounted like a single unit on the pole in the roadside scan an automobile because it enters the tolling area at accelerates to 40km/hr. Mounted ten metres in the toll barrier the machine has lots of time to scan and classify the automobile before it gets to the barrier.
Classifies over 99% of vehicles properly
Smart personal computers let the system to remove inaccuracies brought on by vehicles different their speed as well as reversing within the classification area. Vehicle separation is often as low as .2 metres and also the system determines the vehicle’s height, width and quantity of axles. You’ll be able to set height, width and axle limits to avoid vehicles large or heavy vehicles being able to access the toll way.
Able to work with vehicles in one to thirty metres lengthy the machine may even determine the vehicle’s classification prior to the whole vehicle has transpired by its lasers. For road operators, the systems’ free standing construction means no in-road loops or sensors, reducing installation costs and disruption.
Laser systems is capable of a classification precision of higher than 99% in most climate conditions and classify several million vehicles daily inside a free flowing traffic situation.
To maximise the advantages of automatic vehicle classification during toll road charging, a method of car recognition is needed. Studying vehicle plates is obviously the recognized method. Again, such systems should be reliable, in a position to differentiate plates in poor climate conditions with high amounts of precision. Free flowing traffic systems will need systems that may work across multiple lanes and cope with the issues of tailgaters and toll evaders.
Good ANPR systems use high-resolution cameras, triggered with a special laser recognition sensor (LIDAR), to capture pictures of passing vehicles’ plates. They interpret these images using computer algorithms and optical character recognition (OCR) techniques. ANPR systems such as these reliably identify national and worldwide license plates on multiple parallel lanes, regardless of the rate or even the position of vehicles. Even during poor weather, strong sunlight or snow, they read most license plates properly.