Eintrag in der Universitätsbibliographie der TU Chemnitz
Volltext zugänglich unter
URN: urn:nbn:de:bsz:ch1-qucosa2-1015238
Markert, Daniel
Masrur, Alejandro (Prof. Dr.) ; Reitmann, Stefan (Jun.-Prof.) (Gutachter)
On the Design of Synchronous Traffic Protocols for Intelligent Intersections
Kurzfassung in englisch
Intelligent intersections aim to replace conventional traffic lights with traffic protocols that dynamically schedule connected and automated vehicles (CAVs) in all directions, as opposed to greatly static traffic lights that are currently in use. Traffic protocols can be synchronous or asynchronous in nature, with synchronous such traffic protocols enforcing efficient crossing patterns to achieve a higher throughput. However, due to the open-ended nature of realistic intersections, current synchronous traffic protocols are generally confined to specific types of traffic or infrastructure, which greatly restricts their applicability in the real world. To address this issue, this thesis proposes several design concepts to increase the real-world applicability of synchronous traffic protocols to a wider range of settings. More specifically, three points are covered. First, deterministic methods fail to provide meaningful estimates of the maximum number of vehicles at the intersection, which is paramount to assess communication reliability and, in the end, guarantee safety. In contrast, probabilistic estimates can greatly reduce pessimism and overdesign compared to deterministic approaches while still retaining safety. These and other benefits or the proposed approach are illustrated by means of a detailed case study and simulations using OMNeT++. Second, to guarantee safety, traffic protocols must enforce sufficiently large gaps between vehicles on different lanes, taking their dimensions into account. In particular, existing such protocols are designed for the longest possible vehicle resulting in space-hungry intersections, that require modifications in the infrastructure (in particular, broader roads/lanes). Moreover, these do not allow for vehicles that are exceptionally longer than the ones considered at design time (e.g., extra long trucks, or buses, etc.). In this thesis, to overcome this limitation, all proposed approaches handle overlength vehicles as exceptions to compensate for their low probability of occurrence, relaxing space requirements on the intersections. This is implemented in a single-crossing traffic protocol called SV-LTR (Single-Vehicle LTR) and further extended by a two-speed scheme to account for realistic driving and turning behavior and augmented with a platooning mode called PB-LTR (Platooning-Based LTR), where vehicles on opposing lanes cross with reduced inter-vehicle distances while considering the delay to perpendicular lanes. Finally, FleXS-TP (Flexible Synchronous Traffic Protocol) dynamically forms crossing patterns without requiring specific vehicle arrival orders. By maintaining a synchronous core while scheduling vehicles individually, FleXS-TP combines the efficiency of synchronous protocols under well-behaved traffic with the flexibility of asynchronous approaches under randomized traffic, achieving substantial throughput in both scenarios, as demonstrated by realistic SUMo simulations. These results illustrate the proposed techniques’ effectiveness in enhancing safety, throughput, and space efficiency, while broadening the applicability of synchronous traffic protocols todiverse and realistic traffic conditions.
| Universität: | Technische Universität Chemnitz | |
| Institut: | Professur Rechnerarchitekturen und -systeme | |
| Fakultät: | Fakultät für Informatik | |
| Dokumentart: | Dissertation | |
| Betreuer: | Masrur, Alejandro (Prof. Dr.) | |
| DOI: | doi:10.60687/2026-0021 | |
| SWD-Schlagwörter: | Verkehrssystem , Autonomes Fahrzeug | |
| Freie Schlagwörter (Deutsch): | Intelligente Verkehrssysteme , Autonome Fahrzeuge | |
| Freie Schlagwörter (Englisch): | Intelligent Intersections , Connected Autonomous Vehicles (CAVs) , Traffic Protocols | |
| DDC-Sachgruppe: | 004.62, 005.1 | |
| Sprache: | englisch | |
| Tag der mündlichen Prüfung | 12.01.2026 | |
| OA-Lizenz | CC BY 4.0 |
