Abstract

The paper investigates a novel approach to the traffic control problem of signalized junction with bus priority. In road traffic engineering practice, adaptive control algorithms are generally used for maximizing the traffic flow of intersections. The adaptive strategies aim to calculate optimal signal splits for the traffic lights. The calculation is usually based on the number of vehicles measured by appropriate detection methods and may also depend on public transport priority actions (e.g. “green call” by buses). The main drawback of these methods is that the number of vehicle passengers is not taken into consideration. Unlike the common approaches the presented control strategy considers weighted passenger number exclusively (by using the assumption that the number of passengers can be measured in all vehicles). Hence, the control aim is to maximize the number of weighted passenger number capable to cross the intersection. The proposed control method is based on two factors: the number of passengers in road vehicles and their temporal distance measured from the stop line. The strategy does not apply priority measures for public transport directly. At the same time, the vehicles carrying numerous passengers (i.e. buses) acquire preference.

Highlights

  • One of the most important elements of sustainable transportation is the development of public transport, i.e. searching methods which ensure advantages for public vehicle passengers

  • 8 Conclusions and future development possibilities The paper presented a novel strategy for intersection traffic control providing optimal green time splits for signal stages

  • The control is based on the time weighted number of vehicle passengers, i.e. the temporal distance from the stop line

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Summary

Introduction

One of the most important elements of sustainable transportation is the development of public transport, i.e. searching methods which ensure advantages for public vehicle passengers. By knowing the temporal distance (calculated based on the saturation flow described above) and the passenger number of each vehicle in all branches, the control parameters can be calculated as the product of them, called as time weighted passenger numbers. This parameter serves as the basis of the proposed traffic control approach. The passing time of the passenger groups can be defined based on the approximated saturation flow rate, e.g. about 0.5 vehicle/s as commonly used in practice This means that in every 2 seconds a vehicle crosses the stop line. The details of the control algorithm are presented in the following part

Discrete values
Findings
TWPN based control
Full Text
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