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Local Traffic Safety Analyzer (LTSA) - Improved road safety and optimized signal control for future urban intersections

Eggers, Kim Jannik and Oertel, Robert and Hesse, Martin (2022) Local Traffic Safety Analyzer (LTSA) - Improved road safety and optimized signal control for future urban intersections. 4th Symposium on Management of Future Motorway and Urban Traffic Systems 2022 (MFTS2022), 2022-11-30 - 2022-12-02, Dresden, Germany.

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Abstract

Improving road safety and optimizing the traffic flow - these are major challenges at urban intersections. In particular, strengthening the needs of vulnerable road users (VRUs) such as pedestrians, cyclists and e-scooter drivers is becoming increasingly important, combined with support for automated and connected driving. In the LTSA project, a new system is being developed and implemented exactly for this purpose. The LTSA is an intelligent infrastructure system that records the movements of all road users in the vicinity of an intersection using a combination of several locally installed sensors e.g. video, radar, lidar. AI-based software processes the detected data, interprets the movement patterns of road users and continuously analyzes the current traffic situation (digital twin). Potentially dangerous situations are identified, e.g. right turning vehicles and simultaneously crossing VRUs, and warning messages can be sent to connected road users via vehicle-to-infrastructure communication (V2X). Automated vehicles can thus adapt their driving maneuvers. In addition, the collected data is applied to improve traffic light control depending on the current traffic situation, especially for VRUs. This abstract describes the LTSA system and its implementation in the German city of Potsdam. The current project state is presented and an outlook on next steps is given.

Item URL in elib:https://elib.dlr.de/191817/
Document Type:Conference or Workshop Item (Speech)
Title:Local Traffic Safety Analyzer (LTSA) - Improved road safety and optimized signal control for future urban intersections
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Eggers, Kim JannikUNSPECIFIEDhttps://orcid.org/0009-0001-8164-7732143831688
Oertel, RobertUNSPECIFIEDhttps://orcid.org/0000-0003-0797-0491UNSPECIFIED
Hesse, MartinVITRONIC Dr.-Ing. Stein Bildverarbeitungssysteme GmbHUNSPECIFIEDUNSPECIFIED
Date:2022
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Published
Keywords:Advanced urban traffic control with connected technologies, C-ITS applications, Multimodal traffic management, Traffic management/control in the presence of CAVs
Event Title:4th Symposium on Management of Future Motorway and Urban Traffic Systems 2022 (MFTS2022)
Event Location:Dresden, Germany
Event Type:international Conference
Event Start Date:30 November 2022
Event End Date:2 December 2022
Organizer:Chair of Traffic Process Automation, Institute of Traffic Telematics, “Friedrich List” Faculty of Transport and Traffic Sciences of TU Dresden
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Transport
HGF - Program Themes:Road Transport
DLR - Research area:Transport
DLR - Program:V ST Straßenverkehr
DLR - Research theme (Project):V - KoKoVI - Koordinierter kooperativer Verkehr mit verteilter, lernender Intelligenz, V - VMo4Orte - Vernetzte Mobilität für lebenswerte Orte
Location: Berlin-Adlershof , Braunschweig
Institutes and Institutions:Institute of Transportation Systems > Cooperative Systems, BA
Institute of Transportation Systems > Cooperative Systems, BS
Deposited By: Eggers, Kim Jannik
Deposited On:20 Dec 2022 14:31
Last Modified:24 Apr 2024 20:53

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