BME Traffic Lab Research Topics



Future Traffic Light Control System: innovation and security in the ZalaZONE Smart City Project 



Traffic is a dynamic and complex system, where traffic lights are essential elements to ensure smooth and safe traffic flow. In the ZalaZONE Smart City project, our aim is to develop a new traffic light control system that is not only reliable and efficient, but also flexible. This advanced control system and the steps we […]

Date: 13/09/2023 | 3:48 PM | Read more >

The importance of V2X simulation: an in-depth comparison of intersection control algorithms
using a high-fidelity communication simulation



The rapid evolution of vehicle-to-vehicle and vehicle-to-infrastructure communication opens doors to various control algorithms, one particular domain being intersection control. Several researchers have proposed communication-based intersection control algorithms omitting traditional traffic lights with the promise of enhanced throughput and improved traffic safety. On the other hand, the majority of these algorithms ignore the uncertainties and […]

Date: 11/09/2023 | 5:38 PM | Read more >

Mesoscopic traffic simulation to speed up EGO vehicle-centric simulation



Simulation-based testing of classical driver assistance functions (ABS, ESP) involves mainly the EGO vehicle and some dummy objects. Specifying the scenario in simulation is simple. However, testing complex, cooperative, or perception-based driver assistance functions (e.g., a traffic jam pilot) requires many vehicles inside the simulation. Therefore, microscopic traffic simulation is often used together with vehicle […]

Date: 20/02/2023 | 12:06 PM | Read more >

Digital Twin of a road with the help of OpenCRG



The usage of sophisticated testing methods such as Vehicle-in-the-Loop, Scenario-in-the-Loop, and other mixed-reality systems is becoming inevitable in autonomous vehicle development. These methods rely on using digital twins, realistic representations of real vehicles and their environment (e.g. road, traffic) in a carefully built virtual world. If the testing task is such (e.g., vehicle dynamics simulation), […]

Date: 08/02/2023 | 10:26 AM | Read more >

Wireless and Distributed Intelligent Signal Heads



The traditional traffic signal system with a central traffic controller cabled to all signal heads can be replaced by intelligent („smart”) signal heads realizing a wireless and distributed traffic signal control. – Instead of a central traffic controller the built-in logics of the signal heads provide the safe distributed operation for traffic signal control via […]

Date: 07/02/2023 | 4:27 PM | Read more >

Vissim COM Programming



If you find the following documents useful, please, cite one of our papers in your publication, e.g. VISSIM-MATLAB Simulation Environment. A practical manual for Vissim COM programming in Matlab and Python for Vissim version 2020 and 2021 A practical manual for Vissim COM programming in Matlab for Vissim version 2020 A practical manual for Vissim COM […]

Date: 07/02/2023 | 4:12 PM | Read more >

“Vehicle-in-the-Loop” testing environment for autonomous cars



Vehicle-In-the-Loop Test Environment for Autonomous Driving with SUMO Microscopic Traffic Simulation Vehicle-in-the-Loop (ViL) simulation test in ZalaZone test track – Autonomous Valet Parking Demo Related publicatinos: https://ieeexplore.ieee.org/document/8519486 https://content.sciendo.com/view/journals/ttj/20/2/article-p153.xml

Date: 07/02/2023 | 4:03 PM | Read more >

Urban Traffic Control for Autonomous Vehicles



A two-layer traffic control method is proposed to obtain an efficient traffic flow by removal of traffic light and velocity optimization of each individual vehicle in the vicinity of each junction and prioritizing the links to influence the traffic flow. The link prioritization is used for the macroscopic optimization of the system while the junction […]

Date: 07/02/2023 | 3:55 PM | Read more >

SUMO / TRACI / VEINS / INET / OMNET++ Programming



SUMO-TraCI is an important tool to utilize the V2X communication simulation system. Some helpful content to understand TraCI are provided below (both for Matlab and Python solutions). The beginning steps of SUMO TRACI programming with Matlab The beginning steps of SUMO TRACI programming with Python Simple example code with Matlab Simple example code with Python […]

Date: 07/02/2023 | 3:49 PM | Read more >

Connecting SUMO with Unreal Engine 4 (UE4) through Simulink



In recent years, co-simulation became an exciting area in the industry as well as in the industry. The aim of co-simulation is to create synergies between different simulation software. In the following example, the traffic simulator SUMO is connected to a visualization module built in Unreal Engine 4, through Simulink. SUMO is an open-source traffic […]

Date: 07/02/2023 | 3:19 PM | Read more >

SUMO & Unity 3D – synchronized co-simulation



A co-simulation example is introduced for using Sumo and Unity 3D in a synchronized manner.  A full working example code is provided via GitHub: https://github.com/BMEAutomatedDrive/SUMO-Unity3D-connection This demonstrates real-time communication between the microscopic traffic simulator SUMO and the 3D game engine Unity 3D with Python 3.7 based TCP/IP server. If you have found the codes useful […]

Date: 07/02/2023 | 3:06 PM | Read more >

Emission Modeling and Control



Emission Modeling Road traffic congestion has become an everyday phenomenon in today’s cities all around the world. The reason is clear: at peak hours, the road network operates at full capacity. In this way, growing traffic demand cannot be satisfied, not even with traffic-responsive signal plans. The external impacts of traffic congestion come with a […]

Date: 07/02/2023 | 2:50 PM | Read more >

Data fusion for urban road traffic



The knowledge of road traffic parameters is of crucial importance to ensure state-of-the-art traffic services either in public or private transport. In our days, a plethora of road traffic data is continuously collected producing historical and real-time traffic information as well. The available information, however, arrives from inhomogeneous sensor systems. Therefore, data fusion methodologies are […]

Date: 07/02/2023 | 2:34 PM | Read more >

C-ITS Demonstrations



Within the framework of the National Lab for Autonomous Systems (ARNL) we made demonstrations for C-ITS (Cooperative Intelligent Transport Systems) services for autonomous / highly automated vehicles and intelligent traffic lights. The demonstration includes a self-driving go-kart developed at the department and PLC-controlled traffic lights. The go-kart does wireless communication to a central computer (quasi […]

Date: 07/02/2023 | 2:21 PM | Read more >

Bus Bunching Control



On busy lanes, where public transport buses are frequent, bus bunching is a common phenomenon: Bunching leads to non-homogeneous utilization of buses and therefore degradation of service quality. The objective is to (i) adhere buses to a timetable and (ii) guarantee equal headways. The proposed control methodology is a shrinking horizon model predictive velocity control.  […]

Date: 07/02/2023 | 11:52 AM | Read more >
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