Building a Large-Scale Micro-Simulation Transport Scenario Using Big Data
A large-scale agent-based microsimulation scenario including the transport modes car, bus, bicycle, scooter, and pedestrian, is built and validated for the city of Bologna (Italy) during the morning peak hour. Large-scale microsimulations enable the evaluation of city-wide effects of novel and compl...
Main Authors: | Joerg Schweizer, Cristian Poliziani, Federico Rupi, Davide Morgano, Mattia Magi |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-03-01
|
Series: | ISPRS International Journal of Geo-Information |
Subjects: | |
Online Access: | https://www.mdpi.com/2220-9964/10/3/165 |
Similar Items
-
Simulating platooned connected autonomous vehicle in a large scale urban scenario
by: Joerg Schweizer, et al.
Published: (2022-09-01) -
Data-driven Bicycle Network Analysis Based on Traditional Counting Methods and GPS Traces from Smartphone
by: Federico Rupi, et al.
Published: (2019-07-01) -
Supply and Demand Analysis of a Free Floating Bike Sharing System
by: Cristian Poliziani, et al.
Published: (2022-04-01) -
Nonparametric Regression Analysis of Cyclist Waiting Times across Three Behavioral Typologies
by: Jeremy Walker, et al.
Published: (2022-03-01) -
TOWARDS AN EFFICIENT TRAFFIC CONGESTION PREDICTION METHOD BASED ON NEURAL NETWORKS AND BIG GPS DATA
by: Wiam Elleuch, et al.
Published: (2019-06-01)