scholarly journals PARAMETER ESTIMATION OF MACROSCOPIC TRAFFIC SIMULATION MODEL

2001 ◽  
Vol 18 ◽  
pp. 747-754
Author(s):  
Chumchoke NANTHAWICHIT ◽  
Takashi NAKATSUJI
Keyword(s):  
Parameter Estimation ◽  
Simulation Model ◽  
Traffic Simulation

Intelligent control of complex traffic conditions based on machine learning

2021 ◽  
pp. 1-12
Author(s):  
Zhe Li
Keyword(s):  
Machine Learning ◽  
Simulation Model ◽  
Traffic Simulation ◽  
Learning Algorithms ◽  
Control Model ◽  
Machine Learning Algorithms ◽  
Transmission Model ◽  
Cell Transmission Model ◽  
Traffic Conditions ◽  
Simulation Control

 In order to improve the simulation effect of complex traffic conditions, based on machine learning algorithms, this paper builds a simulation model. Starting from the macroscopic traffic flow LWR theory, this paper introduces the process of establishing the original CTM mathematical model, and combines it with machine learning algorithms to improve it, and establishes the variable cell transmission model VCTM ordinary transmission, split transmission, and combined transmission mathematical expressions. Moreover, this paper establishes a road network simulation model to calibrate related simulation parameters. In addition, this paper combines the actual needs of complex traffic conditions analysis to construct a complex traffic simulation control model based on machine learning, and designs a hybrid microscopic traffic simulation system architecture to simulate all relevant factors of complex road conditions. Finally, this paper designs experiments to verify the performance of the simulation model. The research results show that the simulation control model of complex traffic conditions constructed in this paper has certain practical effects.

scholarly journals An Evaluation Study on Bus Priority Measures Using Traffic Simulation Model

2000 ◽  
Vol 17 ◽  
pp. 933-940 ◽  
Author(s):  
Kazushi SANO ◽  
Shoji MATSUMOTO ◽  
Toru NOZAWA ◽  
Yuki OBANE
Keyword(s):  
Simulation Model ◽  
Traffic Simulation ◽  
Evaluation Study ◽  
Bus Priority

A robust dynamic highway traffic simulation model

1999 ◽  
Vol 37 (1-2) ◽  
pp. 189-193 ◽  
Author(s):  
Mohy El-Din Mahmoud ◽  
Khaled El-Araby
Keyword(s):  
Simulation Model ◽  
Traffic Simulation ◽  
Highway Traffic

An overview of a simulation study of the Highway 401 freeway traffic management system

1994 ◽  
Vol 21 (3) ◽  
pp. 439-454 ◽  
Author(s):  
Bruce Hellinga ◽  
Michel Van Aerde
Keyword(s):  
Simulation Model ◽  
Traffic Management ◽  
Management System ◽  
Model Calibration ◽  
Traffic Simulation ◽  
Time Of Day ◽  
Calibration Model ◽  
Integration Model ◽  
Freeway Traffic ◽  
Traffic Management System

This paper discusses the application of the network traffic simulation model INTEGRATION to a 35-km section of Highway 401 in Toronto, Canada. Results for the eastbound direction from 4 a.m. to 12 noon are presented. Existing freeway conditions are quantified using data from the COMPASS freeway traffic management system and from a floating car travel time survey. Variations that exist in observed link flows and trip travel durations over time of day and day of week are examined. The extent to which COMPASS data meets the data requirements of the INTEGRATION model is examined. Since the current COMPASS system encompassed less than 50% of the network analyzed, complications arise in accurately estimating the prevailing time-varying origin–destination demands, as well as in comprehensively validating the simulation model's results. The present level of model calibration results in a correlation coefficient of estimated and observed link flows of 97.23%. This level of discrepancy is generally within the natural day-to-day variations that are inherent within the system. However, travel times estimated by the simulation model tend to be underestimated, particularly for the express lanes. Further model calibration, to improve the model's results, is deferred until more of the network is covered by COMPASS. Key words: traffic simulation, COMPASS, model calibration, model validation, speed–flow relationship.

Sign in / Sign up

Export Citation Format

Share Document