Gerhard Listl’s scientific contributions

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Publications (4)


Erweiterung der Verfahren zur Wirksamkeitsanalyse von Netzbeeinflussungsanlagen - Extended Procedures for Analysing the Effectiveness of Network Management Systems
  • Book
  • Full-text available

November 2023

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27 Reads

Marcus Gerstenberger

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Stephan Klementz

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Gerhard Listl

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[...]

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Network management systems (German: Netzbeeinflussungsanlagen - NBA) are one possibility to manage traffic in the road network optimally in accordance with the existing traffic loads and travel times, especially in the event of disturbances in the traffic flow. The methods currently used for impact assessment of NBA based on the guideline “Hinweise zur Wirksamkeitsschätzung und Wirksamkeitsberechnung von Verkehrsbeeinflussungsanlagen” (FGSV Issue 311) calculate the effects on traffic flow using time costs. However, the parameters included in the procedures are empirically difficult to determine and are based on assumptions, especially for the compliance rate and for the travel times on normal and alternative routes. The aim of the research project was to develop an assessment analysis method that supports proof of the traffic effect of NBA in a more transparent and practical way. Based on a literature review of procedures for assessment analysis and control strategies of NBA as well as expert interviews with representatives of the road administration, relevant impact components were identified and their actual options for calculation evaluated. The use cases “traffic disturbance information” (use case S) and “alternative route recommendation” (use case A) for NBA were established in a new analysis method for ex-ante and ex-post investigations because of these findings. Information from Floating Car Data (FCD) is used to assess the relevance of disturbances and the estimation of travel times in undisturbed and disturbed situations, time losses due to the disturbances and resulting time advantages. The transmission of the traffic disturbance information at the decision point (use case S), whether with or without additional recommendation of an alternative route, also has an influence on the behavior of road users. For use case S the number of road users informed about the disturbance is used to assess the effectiveness of an NBA. If, in addition to the traffic disturbance information, an alternative route recommendation is shown, the use case A for the relevant time range is also considered. The procedure in use case A assumes that a recommendation of an alternative route results in time advantages for the road users following the recommendation compared to continuing the drive on the normal route with the disturbance. To assess the traffic impact of NBA for use case A, the sum of these time advantages for all relevant road users in passenger car and truck traffic is used. For this purpose, the characteristics of the network of normal route and alternative route are analysed. From this analysis, indications of the relevance of disturbances on the normal route for use cases S and A can be derived. A further distinction is made between the traffic volume of road users entering the normal route and the traffic volume of those passing through the entire normal route to the end point (usually in an undisturbed situation). Furthermore, information about the number of road users who are switching to the alternative route is required. Additionally, data on disturbances and in the case of ex-post investigations also data on display contents of the NBA are needed as input data. On the alternative route, the network element that has the lowest capacity must be located. With the analysis method, the traffic effects of an NBA can be calculated. In use case A, the time advantages for the influenced road users (passenger cars and trucks) are shown. The benefits of the NBA can be determined based on time advantages using time cost rates. In addition to the procedures for effectiveness analysis, a methodological approach to the strategy definition for NBA is developed, which is based on the same principles as the assessment of traffic disturbances. In the context of an exemplary practical application, it was shown that the processing steps described in the procedure and the necessary data are suitable and the method is usable for an impact assessment of NBA. Finally, recommendations are formulated for the integration of the project results into the FGSV guidelines. In addition, information is given on how to improve the application of the method. Necessary data should be available in standardized data formats and in a continuous data storage. To simplify the application, a software tool should be implemented and the knowledge gained from process applications should be collected in a knowledge repository.

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Leistungssteigerung städtischer Straßennetze durch automatisierte und vernetzte Fahrzeuge: Eine szenariobasierte Simulationsstudie

October 2022

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48 Reads

Automatisierter und vernetzter Straßenverkehr kann erheblichen Einfluss auf die Leistungsfähigkeit zukünftiger städtischer Straßennetze haben. Um den Möglichkeitsraum etwas einzugrenzen und realistische Entwicklungen darzulegen, wurden in der Studie „Leistungssteigerung städtischer Straßennetze“ simulationsbasierte Untersuchungen durchgeführt. Die Untersuchungsergebnisse stellen dar, dass bei hohen Durchdringungsgraden, einem entsprechendem Fahrverhalten, sowie adaptiver Steuerung hohe Kapazitäten erreicht werden können. Dies könnte langfristig dazu führen, dass für den motorisierten Individualverkehr verfügbare Fahrstreifen umgewidmet werden können und anderen Verkehrsteilnehmern oder sonstigen Zwecken zur Verfügung gestellt werden könnten. In Zukunft sind jedoch weitere Feldtests und Simulatorstudien durchzuführen, um die der Untersuchung zugrundeliegenden Annahmen ggf. zu aktualisieren bzw. zu verifizieren.


Hinweise zu Detektionstechnologien im Straßenverkehr

January 2019

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114 Reads

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1 Citation

Die Forschungsgesellschaft für Straßen- und Verkehrswesen (FGSV) hat nun zum ersten Mal die „Hinweise zu Detektionstechnologien im Straßenverkehr“, Ausgabe 2019, herausgegeben. Sie ersetzen das „Merkblatt über Detektoren für den Straßenverkehr“, Ausgabe 1991. Die Erfassung von Verkehrsdaten ist nicht Selbstzweck, sondern dient unterschiedlichen Aufgaben: - der kurzfristigen Verkehrsbeeinflussung und der aktuellen Zustandsinformation über verschiedene Kommunikationsmittel sowie - der langfristigen Verkehrsplanung, insbesondere der Bereitstellung statistischer Daten für die Planung und Bewertung von Infrastruktur- und Verkehrsmanagementmaßnahmen. Hieraus resultieren unterschiedliche Ansprüche an die Netzabdeckung, die Verfügbarkeit, die Zuverlässigkeit und die Genauigkeit der zu erhebenden Daten. Mit den neuen Hinweisen werden zum einen der aktuelle Stand im Einsatz befindlicher Detektionstechnologien detailliert aufbereitet. Zum anderen werden nun alle Anwendungsfelder im dynamischen Verkehrsmanagement innerorts wie außerorts adressiert. Die Hinweise gehen nach einem einführenden Abschnitt zunächst auf theoretische und praktische Grundlagen der Verkehrsdatenerfassung ein (Abschnitt 2). Im Abschnitt 3 werden Anwendungsfelder im Verkehrsmanagement beschrieben und deren Anforderungen an notwendige Daten und die Datenerfassung formuliert. Abschnitt 4 behandelt ausführlich die zur Verfügung stehenden Detektionstechnologien zur Erfüllung der im Abschnitt 3 formulierten Anforderungen. Weiterhin wird in diesem Abschnitt beispielhaft die Integrationsmöglichkeit in eine Verkehrsmanagementarchitektur beschrieben. Abschnitt 5 widmet sich den Kostenstrukturen und Richtkosten von Datenerfassungstechnologien. Im Abschnitt 6 werden Empfehlungen zur Beschaffung und zum Betrieb von Datenerfassungsinfrastrukturen formuliert. Einen Ausblick auf zukünftige Entwicklungen, die noch nicht Stand der Technik sind, insbesondere auf dem Gebiet der kooperativen Systeme und des assistierten und automatisierten Fahrens gibt Abschnitt 7. Der Anhang (Abschnitt 10) enthält u. a. Steckbriefe zu den Detektionstechnologien (Excel) auf einem Datenstick.


Fig. 2. Traffic volume (DTV W ) on the main road network of the city of Munich in baseline scenario 2015 (model values from traffic model).
Fig. 3. NO 2 immission levels in baseline scenario 2015 (model values).
Fig. 4. Remaining length of the main road network with NO 2 immission above the threshold of 40 µg/m³ in all scenarios (model values).
Fig. 6. Distribution of traffic-related NO2 emission on main road network within the area of the middle ring road (Mittlerer Ring) among the subfleets "commercial cars" and "private cars and heavy-duty vehicles (HDV)".
Fleet composition (dynamic) of the sub-fleets of private cars and commercial cars for city of Munich in 2015.
Impact analysis of changes in passenger vehicle fleet composition to reduce the NO2 immissions

January 2019

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46 Reads

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7 Citations

Transportation Research Procedia

This paper presents a methodology to forecast the changes of NO2 immissions due to changes in fleet composition of passenger vehicles and emission classes. Within this scope, possible changes in vehicle technologies (e.g. lower emission of diesel engines) are considered in different scenarios using the example of Munich. In line with this purpose, the traffic volumes and origin-destination data are obtained from a macroscopic traffic model, local registration statistics of vehicles are used to estimate fleet compositions. In addition, for immission modelling data on characteristic roadside structure as well as weather conditions of the investigation area are considered. For different scenarios with adapted passenger vehicle fleet compositions, the reductions of NO2 immissions levels as well as the special distribution in the road network is calculated. Additionally, the remaining length of the road network, where the legal threshold of daily average of 40 µg/m³ NO2 in Germany is exceeded, is shown for each scenario. Moreover, the contribution of the sub-fleet of commercial cars to these changes in emission is calculated. The results show that the higher share of low emission classes (e.g. Euro 6 RDE for diesel engines) lead to continues reductions of NO2 immissions. The highest decrease of NO2 immission in the main road network of Munich is calculated for use of petrol cars with emission class Euro 6 for all passenger vehicles. To achieve the goal that the predominant part of the road network is fulfilling the legal threshold for NO2 immissions, a high share of electric vehicles is needed.

Citations (1)


... In the VEU scenarios, emission factors consider diverse vehicle fleets based on size, engine distribution, and technologies. By 2040, HBEFA assumes EURO 6 conformity for gas and diesel vehicles (Volker et al., 2020), aligned with Gerstenberger & Listl (2019). HBEFA also provides emission factors for Hybrid, PHEV, and BEV technologies, including energy consumption (Seum et al., 2019a). ...

Reference:

Impact assessment of future fleet compositions in vehicle emissions in urban areas: A methodological framework and a case study
Impact analysis of changes in passenger vehicle fleet composition to reduce the NO2 immissions

Transportation Research Procedia