Traffic signals may generate bottlenecks due to an unfair timing balance. Facing this problem, adaptive traffic signal controllers have been proposed to compute the phase durations according to conditions monitored from on-road sensors. However, high hardware requirements, as well as complex setups, make the majority of these approaches infeasible for most cities. This paper proposes an adaptive traffic signal fuzzy-logic controller which uses the flow rate, retrieved from simple traffic counters, as a unique input requirement. The controller dynamically computes the cycle duration according to the arrival flow rates, executing a fuzzy inference system guided by the reasoning: the higher the traffic flow, the longer the cycle length. The computed cycle is split into different phases proportionally to the arrival flow rates according to Webster’s method for signalization. Consequently, the controller only requires determining minimum/maximum flow rates and cycle lengths to establish if–then mappings, allowing the reduction of technical requirements and computational overhead. The controller was tested through a microsimulation model of a real isolated intersection, which was calibrated with data collected from a six-month traffic study. Results revealed that the proposed controller with fewer input requirements and lower computational costs has a competitive performance compared to the best and most used approaches, being a feasible solution for many cities.

Currently, there are only a few technical aids or even control methods to accelerate autonomous buses in urban traffic or to provide them with an extended green phase. This is necessary because their speed is very different from other road users. Communication between autonomous buses and the infrastructure using vehicle-to-everything (V2X) communication is already possible and well researched. It is not yet supported by many manufacturers of the control units and also manufacturers of vehicles. In the project, we have researched the development of a new traffic light signal system (LSA) control procedure with innovative traffic light system communication and detection technology and also implemented it in real traffic. The results from the research can currently already be used for small vessel sizes. The offer can be extended by possible on-demand stops and the correct reaction to vehicles with official duties like police, fire department or ambulance vehicles. In particular, interchanges without a driver present or the usual stop infrastructure at virtual on-demand stops require more passenger guidance by autonomous transport modes.