Boltze, Manfred ; Maheshwary, Palak ; Bhattacharyya, Kinjal ; Maitra, Bhargab (2017)
A methodology for calibration of vehicle class-wise driving behavior in heterogeneous traffic environment.
In: General proceedings of the World Conference on Transport Research (WCTR)
Artikel, Bibliographie
Kurzbeschreibung (Abstract)
In developed countries, traffic microsimulation is already a widely accepted tool for the evaluation and assessment of alternative design schemes, e.g. for different signal timing plans for a road network. However, for developing countries, replicating heterogeneous and non-lane based traffic in a microsimulation model is gaining increased importance and still remains a challenge. The present study demonstrates a methodology to calibrate vehicle class-wise driver behavior in an urban Indian scenario using data from a midblock section and an intersection approach in Kolkata. The study area was modeled using the VISSIM microscopic simulator. The sensitive parameters affecting the driver behavior are identified for every vehicle type using latin hypercube sampling, taking vehicle specific travel time as a performance measure. Further, a single criteria and multi criteria calibration approach based on a genetic algorithm is highlighted in this paper.
| Typ des Eintrags: | Artikel |
|---|---|
| Erschienen: | 2017 |
| Autor(en): | Boltze, Manfred ; Maheshwary, Palak ; Bhattacharyya, Kinjal ; Maitra, Bhargab |
| Art des Eintrags: | Bibliographie |
| Titel: | A methodology for calibration of vehicle class-wise driving behavior in heterogeneous traffic environment |
| Sprache: | Englisch |
| Publikationsjahr: | Mai 2017 |
| Titel der Zeitschrift, Zeitung oder Schriftenreihe: | General proceedings of the World Conference on Transport Research (WCTR) |
| URL / URN: | http://www.verkehr.tu-darmstadt.de/media/verkehr/fgvv/prof_b... |
| Kurzbeschreibung (Abstract): | In developed countries, traffic microsimulation is already a widely accepted tool for the evaluation and assessment of alternative design schemes, e.g. for different signal timing plans for a road network. However, for developing countries, replicating heterogeneous and non-lane based traffic in a microsimulation model is gaining increased importance and still remains a challenge. The present study demonstrates a methodology to calibrate vehicle class-wise driver behavior in an urban Indian scenario using data from a midblock section and an intersection approach in Kolkata. The study area was modeled using the VISSIM microscopic simulator. The sensitive parameters affecting the driver behavior are identified for every vehicle type using latin hypercube sampling, taking vehicle specific travel time as a performance measure. Further, a single criteria and multi criteria calibration approach based on a genetic algorithm is highlighted in this paper. |
| Freie Schlagworte: | Microsimulation; Heterogeneous; Class-wise; VISSIM; Driver behavior; Latin hypercube; Multi criteria; Genetic Algorithm |
| Fachbereich(e)/-gebiet(e): | 13 Fachbereich Bau- und Umweltingenieurwissenschaften 13 Fachbereich Bau- und Umweltingenieurwissenschaften > Verbund Institute für Verkehr 13 Fachbereich Bau- und Umweltingenieurwissenschaften > Verbund Institute für Verkehr > Institut für Verkehrsplanung und Verkehrstechnik |
| Hinterlegungsdatum: | 28 Apr 2017 11:40 |
| Letzte Änderung: | 07 Mai 2024 11:20 |
| PPN: | |
| Export: | |
| Suche nach Titel in: | TUfind oder in Google |
 |
Frage zum Eintrag |
Optionen (nur für Redakteure)
 |
Redaktionelle Details anzeigen |
Drucken
Impressum