Open Journal of Civil Engineering

Volume 7, Issue 4 (December 2017)

ISSN Print: 2164-3164   ISSN Online: 2164-3172

Google-based Impact Factor: 0.75  Citations  

A Comparison among Manual and Automatic Calibration Methods in VISSIM in an Expressway (Chihuahua, Mexico)

HTML  XML Download Download as PDF (Size: 1827KB)  PP. 539-552  
DOI: 10.4236/ojce.2017.74036    1,614 Downloads   3,907 Views  Citations

ABSTRACT

Traffic microsimulation is an essential tool in urban transportation and road planning. Its calibration is essential to attain representative results validated with real-world conditions. VISSIM (Verkehr in Städten—SIMulationsmodell) operates with the Wiedemann’s psycho-physical car-following model for freeway travel that considers safety distances (standstill and movement) during simulation. Calibration in this paper was achieved by using two different approaches: a) manual and b) genetic algorithm (with the GEH statistic formula) calibration techniques. Calibration and validation of this model were performed at the Periferico de la Juventud expressway in Chihuahua City, in northern Mexico. The Periferico de la Juventud (PDJ) has a N-S orientation and a length of ca. 20 km, with its northern section being its most congested portion. Its highest vehicle volume occurs at noon, with 3700 vehicles per hour, with 95% being passenger cars and the other 5% heavy goods vehicles. PDJ’s speed limit is 70 km·h-1, but the driver’s behavior has a tendency towards the aggressive performance. A total of 82 standstill and 82 look-ahead distances were obtained from unmanned aerial vehicles (UAV) images, with values ranging from 0.8 to 4.7 m and from 0.2 to 28 m, respectively. VISSIM calibrated parameter values were calculated for this expressway, being slightly above than the VISSIM default ones; and was validated with travel times and look-ahead distances. Results contribute information for the city’s future installment of public transportation systems, and should help decision makers deal with future urban planning.

Share and Cite:

Espejel-Garcia, D. , Saniger-Alba, J. , Wenglas-Lara, G. , Espejel-Garcia, V. and Villalobos-Aragon, A. (2017) A Comparison among Manual and Automatic Calibration Methods in VISSIM in an Expressway (Chihuahua, Mexico). Open Journal of Civil Engineering, 7, 539-552. doi: 10.4236/ojce.2017.74036.

Cited by

[1] Modeling vehicular and pedestrian delays at signalized midblock crosswalk under mixed traffic conditions
Transportation letters, 2022
[2] Calibrating Car-following Models for Urban Traffic Using Top-view Trajectory Data
Journal of the Eastern …, 2022
[3] Modelling of Traffic Load by the DataFromSky System in the Smart City Concept
2020
[4] Quantitative modellbasierte Diagnose am Beispiel der Energieversorgung des SONATE-Nanosatelliten mit automatisch kalibrierten Modellkomponenten
2020
[5] A microsimulation-based analysis for driving behaviour modelling on a congested expressway
2020
[6] Calibration and validation of a micro-simulation model for operational performance evaluation of urban corridors
2020
[7] Project-level instantaneous emission modeling from mobile sources for freeway lane closure using SHRP2 Naturalistic Driving Study data and microscopic traffic …
2019
[8] Effects of bus priority methods on adjacent mixed traffic
2019
[9] Using Microscopic Simulation-Based Analysis to Model Driving Behavior: A Case Study of Khobar-Dammam in Saudi Arabia
Sustainability, 2019
[10] Project-level instantaneous emission modeling from mobile sources for freeway lane closure using SHRP2 Naturalistic Driving Study data and microscopic traffic simulation
Graduate Theses and Dissertations, 2019
[11] Improving the calibration time of traffic simulation models using parallel computing technique
2019
[12] SIMULATIONS FOR ON-RAMP MERGING SECTIONS IN CALIFORNIA: ESTIMATING CAPACITY AND ANALYZING SPEED DROP IN TRAFFIC FLOW

Copyright © 2024 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.