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Traffic lights time strategy for T-junctions of toll road gate

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Vehicles wishing to pass on the toll road must diverge from the traffic flow on public roads. The toll road movement consists of low vehicles (LV) and heavy vehicles (HV). The public road movement is a mixed traffic flow consisting of LV, HV, motorcycles, and unmotorized vehicles. Traffic lights are used at the T-junction of the toll road gate for travel safety management. The traffic lights that implement a fixed-time strategy should be optimized for efficiency. This study aims to review the safety of travel management at T-junctions for the toll road gate when adaptive traffic lights are used. The structural complexity of mathematical modeling with Petri net is used to analyze and measure the feasibility study. Results illustrate that the structural complexity of the traffic lights that implement a fixed time strategy equals 0.387. It is equal to 0.489 for the adaptive traffic lights. The structural complexity of adaptive traffic lights is 25% higher than conventional systems that implement a fixed-time strategy. The adaptive traffic lights time strategy is feasible for travel safety for road users. The travel time is efficient and comfortable because the delay is low. Furthermore, traffic lights can adjust to the demand of vehicles queuing.
Title: Traffic lights time strategy for T-junctions of toll road gate
Description:
Vehicles wishing to pass on the toll road must diverge from the traffic flow on public roads.
The toll road movement consists of low vehicles (LV) and heavy vehicles (HV).
The public road movement is a mixed traffic flow consisting of LV, HV, motorcycles, and unmotorized vehicles.
Traffic lights are used at the T-junction of the toll road gate for travel safety management.
The traffic lights that implement a fixed-time strategy should be optimized for efficiency.
This study aims to review the safety of travel management at T-junctions for the toll road gate when adaptive traffic lights are used.
The structural complexity of mathematical modeling with Petri net is used to analyze and measure the feasibility study.
Results illustrate that the structural complexity of the traffic lights that implement a fixed time strategy equals 0.
387.
It is equal to 0.
489 for the adaptive traffic lights.
The structural complexity of adaptive traffic lights is 25% higher than conventional systems that implement a fixed-time strategy.
The adaptive traffic lights time strategy is feasible for travel safety for road users.
The travel time is efficient and comfortable because the delay is low.
Furthermore, traffic lights can adjust to the demand of vehicles queuing.

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