scholarly journals Microscopic Simulation of Cruising for Parking of Trucks as a Measure to Manage Freight Loading Zone

2019 ◽  
Vol 11 (5) ◽  
pp. 1276 ◽  
Author(s):  
Clélia Lopez ◽  
Chuan-Lin Zhao ◽  
Stéphane Magniol ◽  
Nicolas Chiabaut ◽  
Ludovic Leclercq
Keyword(s):  
Cost Function ◽  
Traffic Simulation ◽  
Microscopic Simulation ◽  
Microscopic Traffic Simulation ◽  
Research Results ◽  
The Real ◽  
Real Network ◽  
Last Mile ◽  
Simulation Based ◽  
The Relationship

This paper investigated economic truck parking behavior to implement comprehensive Freight Loading Zone (FLZ) policies. We assumed that the delivery trucks can only park on FLZ. The proposed contribution is to quantify the cruising for parking time of trucks. We used a microscopic traffic simulation based on a Manhattan network and the real network of Lyon (France). This paper explored the relationship between the searching time, the parking probabilities and the region’s parking density. Based on research results, an application to last mile cost function is proposed.

Multiregime Approach for Microscopic Traffic Simulation

1998 ◽  
Vol 1644 (1) ◽  
pp. 103-114 ◽  
Author(s):  
Yunlong Zhang ◽  
Larry E. Owen ◽  
James E. Clark
Keyword(s):  
Traffic Flow ◽  
Real World ◽  
Traffic Simulation ◽  
Simulation Models ◽  
Traffic Modeling ◽  
Simulation Approach ◽  
Microscopic Simulation ◽  
Lane Changing ◽  
Microscopic Traffic Simulation ◽  
Simulation Results

The purpose of this paper is to explore various traffic modeling aspects and theories that may overcome some of the limitations in existing microscopic simulation models. A multiregime microscopic traffic simulation approach has been formulated featuring realistic and comprehensive carfollowing and lane-changing logic. A prototype implementation of the multiregime approach was developed in C++ and extensively tested. The multiregime simulation results demonstrate the efficiency and validity of the proposed models for a broad range of traffic scenarios. The test and validation results indicate that the model and program outperformed traditional methods and other existing traffic simulation programs. The validity and efficiency of the model is attributed to the fact that the regimes were added to the model incrementally to reflect increasing agreement with real-world traffic flow. The techniques and corresponding models will be used to improve existing microscopic traffic simulation models and programs.

Surrogate-assisted microscopic traffic simulation-based optimisation of routing parameters

2019 ◽  
Vol 14 (3) ◽  
pp. 223
Author(s):  
Bernhard Werth ◽  
Erik Pitzer ◽  
Christian Backfrieder ◽  
Gerald Ostermayer ◽  
Michael Affenzeller
Keyword(s):  
Traffic Simulation ◽  
Microscopic Traffic Simulation ◽  
Simulation Based

Microscopic simulation of lane changing behaviour at freeway weaving sections

1999 ◽  
Vol 26 (6) ◽  
pp. 840-851 ◽  
Author(s):  
A F Al-Kaisy ◽  
J A Stewart ◽  
M Van Aerde
Keyword(s):  
Simulation Model ◽  
Empirical Data ◽  
Intelligent Transportation Systems ◽  
Traffic Simulation ◽  
Essential Element ◽  
Simulation Models ◽  
Transportation Systems ◽  
Microscopic Simulation ◽  
Lane Changing ◽  
Microscopic Traffic Simulation

Microscopic traffic simulation models are being increasingly used to evaluate Intelligent Transportation Systems (ITS) strategies and to complement empirical data in developing new analytical procedures and methodologies. Lane changing rules are an essential element of any microscopic traffic simulation model. While most of these rules are based on theories and hypotheses, to date no attempt has been made to investigate the consistency of lane changing behaviour from microscopic simulation with empirical observations. The research presented in this paper examined this consistency at freeway weaving areas using empirical data. These data were collected in the late 1980s at several major freeway weaving sections in the State of California. The microscopic traffic simulation model INTEGRATION was used to perform simulation experiments in this research. Vehicle distributions, both total and by type of movement, were used as measures to investigate the lane changing activity that took place at these freeway areas. This examination revealed significant agreement between patterns of lane changing behaviour as observed in the field and as reproduced by microscopic simulation. Most quantitative discrepancies were shown to be a function of user-specified input data or due to some inherent limitations in the empirical data.Key words: simulation, lane changing, weaving, freeways.

Hybrid Mesoscopic–Microscopic Traffic Simulation

2005 ◽  
Vol 1934 (1) ◽  
pp. 218-225 ◽  
Author(s):  
Wilco Burghout ◽  
Haris N. Koutsopoulos ◽  
Ingmar Andréasson
Keyword(s):  
Hybrid Model ◽  
Traffic Simulation ◽  
Simulation Models ◽  
Microscopic Simulation ◽  
Traffic Dynamics ◽  
Integration Framework ◽  
Microscopic Traffic Simulation ◽  
Mesoscopic Model ◽  
Mesoscopic Models ◽  
Traffic Systems

Traffic simulation is an important tool for modeling the operations of dynamic traffic systems. Although microscopic simulation models provide a detailed representation of the traffic process, macroscopic and mesoscopic models capture the traffic dynamics of large networks in less detail but without the problems of application and calibration of microscopic models. This paper presents a hybrid mesoscopic–microscopic model that applies microscopic simulation to areas of specific interest while simulating a large surrounding network in less detail with a mesoscopic model. The requirements that are important for a hybrid model to be consistent across the models at different levels of detail are identified. These requirements vary from the network and route choice consistency to the consistency of the traffic dynamics at the boundaries of the microscopic and mesoscopic submodels. An integration framework that satisfies these requirements is proposed. A prototype hybrid model is used to demonstrate the application of the integration framework and the solution of the various integration issues. The hybrid model integrates MITSIMLab, a microscopic traffic simulation model, and Mezzo, a newly developed mesoscopic model. The hybrid model is applied in two case studies. The results are promising and support both the proposed architecture and the importance of integrating microscopic and mesoscopic models.

scholarly journals Demand Data Modelling for Microscopic Traffic Simulation

2018 ◽  
Vol 19 (4) ◽  
pp. 364-371
Author(s):  
Mihails Savrasovs ◽  
Irina Pticina ◽  
Valery Zemlyanikin ◽  
Ioannis Karakikes
Keyword(s):  
Traffic Flow ◽  
Traffic Simulation ◽  
Flow Simulation ◽  
Simulation Software ◽  
Transport Network ◽  
Data Modelling ◽  
Microscopic Simulation ◽  
Microscopic Traffic Simulation ◽  
Dynamic Assignment ◽  
Traffic Flow Simulation

Abstract The current paper aim is to present the technique of demand data modelling for microscopic simulation of the traffic flows. Traffic microscopic simulation is a powerful decision supporting tool, which could be applied for a wide range of tasks. In a past microscopic traffic simulation was used to test local changes in transport infrastructure, but the growth of computers performance allows now to simulate wide-scale fragments of the traffic network and to apply more advanced traffic flow simulation approaches, like an example dynamic assignment (DA). The results, obtained in the frame of this research are part of the project completed for one of the shopping malls (Riga, Latvia). The goal of the project was to evaluate different development scenarios of the transport network to raise the accessibility of the shopping mall. The number of practical issues in the frame of this project pushed to develop a new technique to model the demand data for the simulation model. As a traffic flow simulation tool, the PTV VISSIM simulation software was applied. The developed model was based on dynamic assignment approach. To complete the simulation the demand data was represented in two forms: 1) OD matrix for regular traffic in the transport network; 2) trip-chain file for a description of the pass-by and targeted trips.

Development and Evaluation of a Procedure for the Calibration of Simulation Models

2005 ◽  
Vol 1934 (1) ◽  
pp. 208-217 ◽  
Author(s):  
Byungkyu (Brian) Park ◽  
Hongtu (Maggie) Qi
Keyword(s):  
Simulation Model ◽  
Model Calibration ◽  
Field Data ◽  
Traffic Simulation ◽  
Simulation Models ◽  
Transportation Engineering ◽  
Microscopic Simulation ◽  
Microscopic Traffic Simulation ◽  
Calibration And Validation ◽  
Simulation Results

Microscopic traffic simulation models have been playing an important role in the evaluation of transportation engineering and planning practices for the past few decades, particularly in cases in which field implementation is difficult or expensive to conduct. To achieve high fidelity and credibility for a traffic simulation model, model calibration and validation are of utmost importance. Most calibration efforts reported in the literature have focused on the informal practice, and they have seldom proposed a systematic procedure or guideline for the calibration and validation of simulation models. This paper proposes a procedure for microscopic simulation model calibration. The validity of the proposed procedure was demonstrated by use of a case study of an actuated signalized intersection by using a widely used microscopic traffic simulation model, Verkehr in Staedten Simulation (VISSIM). The simulation results were compared with multiple days of field data to determine the performance of the calibrated model. It was found that the calibrated parameters obtained by the proposed procedure generated performance measures that were representative of the field conditions, while the simulation results obtained with the default and best-guess parameters were significantly different from the field data.

scholarly journals Cross-Comparison and Calibration of Two Microscopic Traffic Simulation Models for Complex Freeway Corridors with Dedicated Lanes

2019 ◽  
Vol 2019 ◽  
pp. 1-14 ◽  
Author(s):  
Xingan (David) Kan ◽  
Lin Xiao ◽  
Hao Liu ◽  
Meng Wang ◽  
Wouter J. Schakel ◽  
...  
Keyword(s):  
Traffic Control ◽  
Traffic Simulation ◽  
Control Strategies ◽  
Extended Period ◽  
Simulation Models ◽  
Microscopic Simulation ◽  
Microscopic Traffic Simulation ◽  
Freeway Corridors ◽  
Flow Phenomena ◽  
Varying Demand

Realistic microscopic traffic simulation is essential for prospective evaluation of the potential impacts of new traffic control strategies. Freeway corridors with interacting bottlenecks and dedicated lanes generate complex traffic flow phenomena and congestion patterns, which are difficult to reproduce with existing microscopic simulation models. This paper discusses two alternative driving behavior models that are capable of modeling freeways with multiple bottlenecks and dedicated lanes over an extended period with varying demand levels. The models have been calibrated using archived data from a complicated 13-mile long section of the northbound SR99 freeway near Sacramento, California, for an 8-hour time period in which the traffic fluctuated from free-flow to congested conditions. The corridor includes multiple bottlenecks, multiple entry and exit ramps, and an HOV lane. Calibration results show extremely good agreement between field data and model predictions. The models have been cross-validated and produced similar macroscopic traffic performance. The main behavior that should be captured for successful modeling of such a complex corridor includes the anticipative and cooperative driver behavior near merges, lane preference in presence of dedicated lanes, and variations in desired headway along the corridor.

scholarly journals Car Following and Microscopic Traffic Simulation Under Distracted Driving

2021 ◽  
pp. 036119812110003
Author(s):  
Sunbola Zatmeh-Kanj ◽  
Tomer Toledo
Keyword(s):  
Traffic Flow ◽  
Coefficient Of Variation ◽  
Driving Simulator ◽  
Traffic Simulation ◽  
Driving Behavior ◽  
Transportation Systems ◽  
Microscopic Simulation ◽  
Microscopic Traffic Simulation ◽  
Car Following ◽  
The Impact

Microscopic simulation models have been widely used as tools to investigate the operation of traffic systems and different intelligent transportation systems applications. The fidelity of microscopic simulation tools depends on the driving behavior models that they implement. However, current models commonly do not consider human-related factors, such as distraction. The potential for distraction while driving has increased rapidly with the availability of smartphones and other connected and infotainment devices. Thus, an understanding of the impact of distraction on driving behavior is essential to improve the realism of microscopic traffic tools and support safety and other applications that are sensitive to it. This study focuses on car-following behavior in the context of distracting activities. The parameters of the well-known GM and intelligent driver models are estimated under various distraction scenarios using data collected with an experiment conducted in a driving simulator. The estimation results show that drivers are less sensitive to their leaders while talking on the phone and especially while texting. The estimated models are implemented in a microscopic traffic simulation model. The average speed, coefficient of variation of speed, acceleration noise and acceleration and deceleration time fractions were used as measures of performance indicating traffic flow and safety implications. The simulation results show deterioration of traffic flow with texting and to some extent talking on the phone: average speeds are lower and the coefficient of variation of speeds are higher. Further experimentation with varying fractions of texting drivers showed similar trends.

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