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, Roca-Riu, Mireia, Ge, Qiao, Menendez, Monica, 2015 >>
Autor(en): Roca-Riu, Mireia, Ge, Qiao, Menendez, Monica
Titel: Methodology for generating extreme traffic demand patterns with optimization techniques
Kurzbeschreibung: Traffic scenario generation can aid analyzing and evaluating the performance of transportation systems under different traffic conditions. Unfortunately, it has not drawn much attention in practical applications. No standard scenario generation approach can be found so far, other than manual generation, random generation or exhaustive generation, which are neither accurate nor efficient.
Given its importance, we propose to borrow ideas from optimization techniques to solve the optimization problems in generating representative and/or extreme traffic scenarios. In this paper, five optimization methods, i.e., Linear Programming (LP), Dynamic Programming (DP), Greedy Algorithm (GR), Genetic Algorithm (GA), and Tabu Search (TS), are introduced and implemented to generate extreme traffic demand patterns.
The accuracy and efficiency of these methods are explored with a case study, in which the best and worst traffic demand patterns are searched for an abstract grid network. It is found in the case study that when the problem uses an independent traffic assignment model (e.g., shortest path assignment), LP and DP are the most accurate methods. GR is the most efficient method. GA presents certain accuracy when searching for best demand patterns, while TS is more accurate when searching for worst demand patterns. Moreover, GR, GA, and TS do not require linear constraints and objective functions, thus they could also work with other dependent traffic assignment models if computational times become affordable. Considering the overall performance (accuracy, efficiency, and constrains in application), GR is recommended as the best methods for generating extreme demand patterns.2
Publikationsdatum / Empfangsdatum: 2015-04-01
Publikations-Status: Ascona
Publikations-Status: Published
Einordnungen: Demand pattern generation, Demand Scenario, Traffic Assignment, Traffic Networks
Eventname: 15th Swiss Transport Research Conference (STRC 2015)
Eventdatum: April 15-17, 2015
Ort: Ascona, Switzerland
Sprache: English
Schlüsselwort: Demand pattern generation, Demand Scenario, Traffic Assignment, Traffic Networks
DBID Quelle: FORM-1432376024
, Ge, Qiao, Menendez, Monica, 2015 >>
Autor(en): Ge, Qiao, Menendez, Monica
Titel: Sampling dependent parameters in traffic simulation models with Gaussian copula
Kurzbeschreibung: Making samples with certain marginal distributions and dependence structures is an essential but difficult step to perform sampling-based SA for traffic simulation models with dependent parameters. In this paper, we present a general approach for generating samples for dependent parameters. It utilizes the Gaussian copula in the sampling process, which makes it attractive for sampling parameters from any arbitrary marginal distribution. Furthermore, the Spearman's rank correlation coefficient is employed instead of the traditional linear correlation coefficient, so that the dependence structure of the empirical data can be retained throughout the non-linear transform of the Gaussian copula.
A case study that generates samples for the kinematic parameters of Wiedemann-74 car-following model is included to demonstrate the application of this approach. It has shown that the marginal distributions and correlation coefficients of the generated samples are comparable with that of the empirical data. Specifically, the 1,024 samples, which are generated by employing the Sobol sequence in the sampling process, also present consistent marginal distributions and correlation coefficients as the empirical data. This has demonstrated that the proposed sampling approach is also useful for making proper samples of computationally expensive models, for which a big number of model runs are not always affordable.2
Publikationsdatum / Empfangsdatum: 2015-04-01
Publikations-Status: Ascona
Publikations-Status: Published
Einordnungen: Data Sampling, Dependent Parameters, Gaussian Copula, Traffic Model
Eventname: 15th Swiss Transport Research Conference (STRC 2015)
Eventdatum: April 15-17, 2015
Ort: Ascona, Switzerland
Sprache: English
Schlüsselwort: Data Sampling, Dependent Parameters, Gaussian Copula, Traffic Model
DBID Quelle: FORM-1432373723
, Ge, Qiao, Ciuffo, Biagio, Menendez, Monica, 2015 >>
Autor(en): Ge, Qiao, Ciuffo, Biagio, Menendez, Monica
Titel: Combining screening and metamodel-based methods
Untertitel: An efficient sequential approach for the sensitivity analysis of model outputs
Kurzbeschreibung: Sensitivity analysis (SA) is able to identify the most influential parameters of a given model. Application of SA is usually critical for reducing the complexity in the subsequent model calibration and use. Unfortunately it is hardly applied, especially when the model is in the form of a computationally expensive black-box computer program. A possible solution concerns applying SA to the metamodel (i.e., an approximation of the computationally expensive model) instead. Among the other options, the use of Gaussian process metamodels (also known as Kriging metamodels) has been recently proposed for the SA of computationally expensive traffic simulation models. However, the main limitation of this approach is its dependence on the model dimensionality. When the model is high-dimensional, the estimation of the Kriging metamodel may still be problematic due to its high computational cost. In order to overcome this problem, in the present paper, the Kriging-based approach has been combined with the quasi-optimized trajectory based elementary effects (quasi-OTEE) approach for the SA of high-dimensional models. The quasi-OTEE SA is used first to screen the influential and non-influential parameters of a high-dimensional model; then the Kriging-based SA is used to calculate the variance-based sensitivity indices, and to rank the most influential parameters in a more accurate way. The application of the proposed sequential SA is illustrated with several numerical experiments. Results show that the method can properly identify the most influential parameters and their ranks, while the number of model evaluations is considerably less than the variance-based SA (e.g., in one of the tests the sequential SA requires over 50 times less model evaluations than the variance-based SA).2
Publiziert in: Reliability engineering & system safety
Band: 134
Seiten: 334 - 344
ISSN: 0951-8320
Publikationsdatum / Empfangsdatum: 2015-02-01
Publikations-Status: Barking
Publikations-Status: Published
Einordnungen: Ingenieurwesen und Innovation|Engineering and Innovation, Sensitivity analysis, Variance-based approach, High-dimensional and computationally expensive model, Screening, Metamodel
Sprache: English
Schlüsselwort: Sensitivity analysis, Variance-based approach, High-dimensional and computationally expensive model, Screening, Metamodel
DBID Quelle: FORM-1393330841, SCOPUS-84913529830, WOS-000347663200035
DOI: 10.1016/j.ress.2014.08.009
Nebis System Nummer: 000473139
, Ortigosa, Javier, Thomann, Sylvie, Ge, Qiao, Menendez, Monica, 2014 >>
Autor(en): Ortigosa, Javier, Thomann, Sylvie, Ge, Qiao, Menendez, Monica
Titel: Dynamic properties of grid urban networks
Kurzbeschreibung: Urban grid networks might present different ways to structure streets and consequently, traffic, might be accommodated differently. In the present paper, we analyze three grid configurations: two-way streets, two-way streets with prohibited left turns, and one-way streets. We simulate traffic in them with the micro simulation software VISSIM and we distribute trips employing the dynamic traffic assignment integrated in it. In this way, we are able to analyze the dynamic behavior of traffic. Typically, in static simulations, oversaturated links or intersections have really large delays but these delays, contrary to what happens in reality, do not affect other links. We are interested in understanding which configuration is more resilient to the propagation of congestion, and this cannot be seen when employing static models. In addition, the static simulations provide macroscopic indicators such as the total travel time or the total travel distance. However, the dynamic perspective provides a new set of indicators to evaluate our networks, and we are especially interested in using the Macroscopic Fundamental Diagram (MFD) as one of them. The MFD is a traffic monitoring scheme that determines the upper bound of network traffic states relating trip production rate and density of trips. Our goal is to generate MFDs in the different networks and to employ it as indicators of the network performance. Depending on the MFD shape, networks might have different properties when dealing with traffic. In this paper, we discuss this issue by comparing the three different urban grid configurations.2
Publikationsdatum / Empfangsdatum: 2014-05-01
Publikations-Status: Monte Veritá, Ascona, Switzerland
Publikations-Status: Published
Einordnungen: Traffic operations, MFD, Network modeling, DTA, Grid, Urban planning
Eventname: 14th Swiss Transport Research Conference (STRC 2014)
Eventdatum: May 14-16, 2014
Ort: Ascona, Switzerland
Sprache: English
Schlüsselwort: Traffic operations, MFD, Network modeling, DTA, Grid, Urban planning
DBID Quelle: FORM-1400079292
, Ge, Qiao, Ortigosa, Javier, Menendez, Monica, 2014 >>
Autor(en): Ge, Qiao, Ortigosa, Javier, Menendez, Monica
Titel: Traffic demand pattern generation for a grid network based on experiment design
Kurzbeschreibung: In this paper, we present a preliminary approach for generating different traffic demand patterns to analyze the traffic performance of a grid network. The proposed methodology is based on the sampling strategy proposed in (Ge and Menendez, 2013), and combined with ideas from research on experiment design. The proposed algorithm is illustrated using an abstract grid network with bidirectional streets. The purpose of this paper is to demonstrate how does this algorithm work for investigating the relationship between different spatial distributions of the demand (i.e., geographical position where the demand is generated/attracted) and the traffic performances. In this study, we have tried multiple magnitude of the total demand (i.e., quantity of the demand) in the network, but no variation of the temporal distribution (i.e., time when the demand is generated) is considered. Based on the evaluation of the analysis results, we are able to conclude the best and the worst traffic demand conditions in terms of traffic performance for the given grid network.2
Publikationsdatum / Empfangsdatum: 2014-04-01
Publikations-Status: Ascona
Publikations-Status: Published
Einordnungen: Traffic demand pattern, Network, Experiment design, Traffic performance
Eventname: 14th Swiss Transport Research Conference (STRC 2014)
Eventdatum: May 14-16, 2014
Ort: Monte Verità, Ascona, Switzerland
Sprache: English
Schlüsselwort: Traffic demand pattern, Network, Experiment design, Traffic performance
DBID Quelle: FORM-1400078784
, Menendez, Monica, Ge, Qiao, Ciuffo, Biagio, 2014 >>
Autor(en): Menendez, Monica, Ge, Qiao, Ciuffo, Biagio
Titel: Sensitivity analysis
Untertitel: A valuable tool in traffic model calibration
Kurzbeschreibung: 2
Publikationsdatum / Empfangsdatum: 2014-01-01
Publikations-Status: Published
Eventname: 20th Conference of the International Federation of Operational Research Societies, IFORS
Eventdatum: July 13-18, 2014
Ort: Barcelona, Spain
Sprache: English
DBID Quelle: FORM-1420730929
, Ge, Qiao, Poschinger, Andreas, Mück, Jürgen, 2014 >>
Autor(en): Ge, Qiao, Poschinger, Andreas, Mück, Jürgen
Titel: A New Split Optimization Algorithm Based on a Decision Matrix
Kurzbeschreibung: Sitraffic Motion is an adaptive network control method developed by Siemens AG, Germany. Optimizing the traffic signal is one essential feature of Sitraffic Motion. The current algorithm however is not optimized for complex signal settings and is not fully transparent. This paper develops a new optimization algorithm to overcome these problems. It is designed based on a new decision matrix to calculate the green split. The performance of this new algorithm on solving real traffic signal optimization problems is evaluated by microscopic traffic simulations in VISSIM. The comparison of the simulation results shows that the new developed algorithm has significantly improved the signal optimization for isolated intersections.2
Publiziert in: Traffic engineering & control
Band: 55
Ausgabe: 3
Seiten: 105 - 107
ISSN: 0041-0683
Publikationsdatum / Empfangsdatum: 2014-01-01
Publikations-Status: Dorset
Publikations-Status: Accepted
Einordnungen: Verkehr und Transport|Traffic and Transportation
Sprache: English
DBID Quelle: FORM-1417301209
Nebis System Nummer: 000021728
, Ge, Qiao, Menendez, Monica, 2014 >>
Autor(en): Ge, Qiao, Menendez, Monica
Titel: An efficient sensitivity analysis approach for computationally expensive microscopic traffic simulation models
Kurzbeschreibung: Microscopic traffic simulators are useful tools for designing, evaluating and optimizing transportation systems. In order for a simulator to accurately describe reality, the corresponding traffic model must be properly calibrated. However, the calibration can be rather difficult when the model is computationally expensive and has many parameters. To overcome these difficulties, Sensitivity Analysis (SA) can be applied as an essential instrument for supporting model calibration. Through SA the practitioners can obtain valuable information about the relationship between model inputs and outputs, and hence focus on the proper set of most influential parameters for the calibration. Notice, however, that many quantitative SA techniques may also fail with computationally expensive models.
To address the above issues, in this paper we developed the quasi-OTEE method, an efficient and qualitative SA approach based on the Elementary Effects (EE) method. The quasi-OTEE approach is able to screen the most influential parameters of a complex model through computing and comparing their Sensitivity Indexes. With the improved sampling strategy, this approach is much more efficient than the original EE method. The approach is validated through a numerical analysis, and a case study of a small synthetic network in Aimsun. A more detailed case study of the Zurich network in VISSIM is then provided to illustrate its application. The results demonstrate that the proposed approach is an effective SA tool for the computationally expensive microscopic traffic models, as well as other complex models in the general scientific community.
Publiziert in: International Journal of Transportation
Band: 2
Ausgabe: 2
Seiten: 49 - 64
ISSN: 2287-7940
Publikationsdatum / Empfangsdatum: 2014-01-01
Publikations-Status: Sandy Bay, TAS
Publikations-Status: Published
Einordnungen: Sensitivity analysis, Quasi-OTEE, Microscopic traffic simulation, Computationally expensive model, Calibration
Sprache: English
Schlüsselwort: Sensitivity analysis, Quasi-OTEE, Microscopic traffic simulation, Computationally expensive model, Calibration
DBID Quelle: FORM-1385467335
DOI: 10.14257/ijt.2014.2.2.04
, Ge, Qiao, Ciuffo, Biagio, Menendez, Monica, 2014 >>
Autor(en): Ge, Qiao, Ciuffo, Biagio, Menendez, Monica
Titel: From theory to practice II
Untertitel: a comprehensive approach for the sensitivity analysis of high dimensional and computationally expensive traffic simulation models
Publikationsdatum / Empfangsdatum: 2014-01-01
Publikations-Status: Published
Eventname: 93rd Annual Meeting of the Transportation Research Board (TRB 2014)
Eventdatum: January 12-16, 2014
Ort: Washington, DC, USA
Sprache: English
DBID Quelle: FORM-1385468027
, Ge, Qiao, Ciuffo, Biagio, Menendez, Monica, 2014 >>
Autor(en): Ge, Qiao, Ciuffo, Biagio, Menendez, Monica
Titel: Comprehensive approach for the sensitivity analysis of high-dimensional and computationally expensive traffic simulation models
Kurzbeschreibung: The reliability of traffic model results is strictly connected to the quality of its calibration. A challenge arising in this context concerns the selection of the most influential input parameters. A model Sensitivity Analysis (SA) should be used with this aim. Unfortunately, due to the limitation of time and computational resources, a proper SA is hardly performed in the common practice. A recent study introduced a methodology based on Gaussian process meta-models for the SA of computationally expensive traffic simulation models. Its main limitation was, however, its dependence on the model dimensionality. When the model has more than 15~20 parameters (depending on its regularity), the estimation of a Gaussian process meta-model (also known as Kriging meta-model) may become problematic. In this light, the SA of high-dimensional and computationally expensive models still remains an issue. In the present paper, the Kriging-based approach has been coupled with another recently developed approach (the quasi-OTEE) for the SA of computationally expensive models. The quasi-OTEE SA can be used to identify the whole sub-set of sensitive parameters of a high-dimensional model, and the Kriging-based SA can then be used to refine the analysis and rank the different parameters of the sub-set in a more reliable way. The application of this new SA method is illustrated with the Wiedemann-74 car-following model. Results show that the new method requires 40 times less model evaluations than a standard variance-based SA in identify the influential parameters and their ranks.2
Publiziert in: Transportation research record
Band: 2422
Seiten: 121 - 130
ISSN: 0361-1981
Publikationsdatum / Empfangsdatum: 2014-01-01
Publikations-Status: Washington D.C.
Publikations-Status: Published
Sprache: English
DBID Quelle: FORM-1393331719, WOS-000343640500015
DOI: 10.3141/2422-14
Nebis System Nummer: 000024408
, Ge, Qiao, Ciuffo, Biagio, Menendez, Monica, 2014 >>
Autor(en): Ge, Qiao, Ciuffo, Biagio, Menendez, Monica
Titel: An exploratory study of two efficient approaches for the sensitivity analysis of computationally expensive traffic simulation models
Kurzbeschreibung: One of themain challenges arising when calibrating a complex traffic simulationmodel concerns the selection of the most important input parameters. The quasi-optimized trajectorybased elementary effects (quasi-OTEE) and the Kriging-based sensitivity analysis (SA) are two recently developed efficient approaches for the SA of computationally expensive simulation models. In this paper, two experimental studies using two different traffic simulation models (i.e., Aimsun and VISSIM) are presented to compare these two approaches and to better understand their advantages and disadvantages. Results show that both approaches are able to identify, to a good degree, the important parameters. In particular, the quasi-OTEE is better for screening the parameters, whereas the Kriging-based SA has higher precision in ranking the parameters. These findings suggest the following rule of thumb for the SA of computationally expensive traffic simulation models: the quasi-OTEE SA can be used first to screen the parameters and to decide which parameters to discard. Then, the Kriging-based SA can be used to refine the analysis and calculate first-order indexes to identify the correct rank of the important parameters.2
Publiziert in: IEEE transactions on intelligent transportation systems
Band: 15
Ausgabe: 3
Seiten: 1288 - 1297
ISSN: 1524-9050
Publikationsdatum / Empfangsdatum: 2014-01-01
Publikations-Status: Piscataway, N.J
Publikations-Status: Published
Einordnungen: Verkehr und Transport|Traffic and Transportation, Calibration, Sensitivity analysis (SA), Traffic simulation model, Uncertainty
Sprache: English
Schlüsselwort: Calibration, Sensitivity analysis (SA), Traffic simulation model, Uncertainty
DBID Quelle: FORM-1385402742, WOS-000337130600034
DOI: 10.1109/TITS.2014.2311161
Nebis System Nummer: 004021565
, Menendez, Monica, Ge, Qiao, 2013 >>
Autor(en): Menendez, Monica, Ge, Qiao
Titel: Introduction to Traffic Simulation
Publikationsdatum / Empfangsdatum: 2013-01-01
Publikations-Status: Published
Sprache: English
DBID Quelle: FORM-1374486505
, Ge, Qiao, Menendez, Monica, 2013 >>
Autor(en): Ge, Qiao, Menendez, Monica
Titel: An improved approach for the sensitivity analysis of computationally expensive microscopic traffic models
Untertitel: A case study of the Zurich network in VISSIM
Kurzbeschreibung: Microscopic traffic simulators are useful tools for designing, evaluating and optimizing transportation systems. In order for a simulator to accurately describe reality, the corresponding traffic model must be properly calibrated. However, the calibration can be rather difficult when the model is computationally expensive and has many parameters. To overcome these difficulties, Sensitivity Analysis (SA) can be applied as an essential instrument for supporting model calibration. Through SA the practitioners can obtain valuable information about the relationship between model inputs and outputs, and hence focus on the proper set of most influential parameters for the calibration. In this paper we developed an SA approach based on the Elementary Effects (EE) method. It screens the most influential parameters in a complex model through computing the corresponding EE and qualitatively comparing the Sensitivity Indexes. With the improved sampling strategy, this approach is much more efficient than the original EE method. A case study of the Zurich network in VISSIM is included here to illustrate the methodology of the proposed approach. The results demonstrate its efficiency and accuracy. In addition, they show that it can be a very useful tool for the SA of computationally expensive microscopic traffic models like VISSIM, as well as other complex models in the general scientific community.
Publiziert in: Conference proceedings
ISSN: 1073-1652
Publikationsdatum / Empfangsdatum: 2013-01-01
Publikations-Status: Washington, D.C.
Publikations-Status: Published
Einordnungen: Verkehrsplanung, Strassen- und Eisenbahnbau|Traffic, Highway and Railroad Engineering, Verkehr und Transport|Traffic and Transportation
Eventname: 92nd Annual Meeting of the Transportation Research Board
Eventdatum: January 13-17, 2013
Ort: Washington, DC, USA
Sprache: English
DBID Quelle: FORM-1348671965
Nebis System Nummer: 000959737
, Ge, Qiao, Menendez, Monica, 2013 >>
Autor(en): Ge, Qiao, Menendez, Monica
Titel: An improved approach for the sensitivity analysis of computationally expensive microscopic traffic models
Untertitel: A case study of the Zurich network in VISSIM
Publikationsdatum / Empfangsdatum: 2013-01-01
Publikations-Status: Published
Eventname: 92nd Annual Meeting of the Transportation Research Board
Eventdatum: January 13-17, 2013
Ort: Washington, DC, USA
Sprache: English
DBID Quelle: FORM-1369233314
, Ge, Qiao, Menendez, Monica, 2013 >>
Autor(en): Ge, Qiao, Menendez, Monica
Titel: A Simulation Study of the Car-to-X Communication Based Freeway Merge Control
Kurzbeschreibung: The merge control has been proposed as a way to maximize the utilization of road capacity at the work zone area. Two of the most widely used merge control schemes are the static Early Merge (EM) control and the static Late Merge (LM) control. Although many papers adopted field measurements and/or microscopic traffic simulations to explore the performance of these two control schemes, they seldom cross compared them under the same work zone settings, and some of them even derived conflicting results. To extensively investigate and cross compare the traffic performance of the EM and LM controls, we conducted a simulation study using the microscopic traffic simulator VISSIM for a 2-to-1 lane closure work zone. In addition, the sensitivity analysis was adopted to determine the influential VISSIM parameters with respect to the work zone throughput. It is found that the parameters CC1 (i.e., headway time) and CC2 (i.e., longitudinal following threshold in the car-following process) have significant impacts on the simulated work zone throughput. In addition, adjusting CC1 can make the throughput drop faster in the EM scenarios than in the LM scenarios. The simulations also show that when CC1 is low, the work zone capacity under the EM control is higher and the queue is shorter. On the contrary, when CC1 is high, the work zone with LM control has a higher capacity and shorter queue. As the parameter CC1 is critical to the simulation results, it should be carefully calibrated and validated in the VISSIM-based merge control simulations. Based on the simulation results, we recommended that it is more appropriate to implement the EM control when the drivers are aggressive and the safety distance is relatively short (i.e., CC1 is low); when the drivers are cautious and the safety distance is long (i.e., CC1 is high), it is better to adopt the LM control in the work zone area.
Publikationsdatum / Empfangsdatum: 2013-01-01
Publikations-Status: Published
Eventname: 13th Swiss Transport Research Conference (STRC 2013)
Eventdatum: April 24-26, 2013
Ort: Ascona, Switzerland
Sprache: English
DBID Quelle: FORM-1367319939
, Ge, Qiao, Menendez, Monica, 2013 >>
Autor(en): Ge, Qiao, Menendez, Monica
Titel: A Simulation Study for the Static Early Merge and Late Merge Controls at Freeway Work Zones
Kurzbeschreibung: The merge control has been proposed as a way to maximize the utilization of road capacity at the work zone area. Two of the most widely used merge control schemes are the static Early Merge (EM) control and the static Late Merge (LM) control. Although many papers adopted field measurements and/or microscopic traffic simulations to explore the performance of these two control schemes, they seldom cross compared them under the same work zone settings, and some of them even derived conflicting results. To extensively investigate and cross compare the traffic performance of the EM and LM controls, we conducted a simulation study using the microscopic traffic simulator VISSIM for a 2-to-1 lane closure work zone. In addition, the sensitivity analysis was adopted to determine the influential VISSIM parameters with respect to the work zone throughput. It is found that the parameters CC1 (i.e., headway time) and CC2 (i.e., longitudinal following threshold in the car-following process) have significant impacts on the simulated work zone throughput. In addition, adjusting CC1 can make the throughput drop faster in the EM scenarios than in the LM scenarios. The simulations also show that when CC1 is low, the work zone capacity under the EM control is higher and the queue is shorter. On the contrary, when CC1 is high, the work zone with LM control has a higher capacity and shorter queue. As the parameter CC1 is critical to the simulation results, it should be carefully calibrated and validated in the VISSIM-based merge control simulations. Based on the simulation results, we recommended that it is more appropriate to implement the EM control when the drivers are aggressive and the safety distance is relatively short (i.e., CC1 is low); when the drivers are cautious and the safety distance is long (i.e., CC1 is high), it is better to adopt the LM control in the work zone area.
Publikationsdatum / Empfangsdatum: 2013-01-01
Publikations-Status: Published
Einordnungen: Work Zone, Static Merge Control, Microscopic Traffic Simulation, Capacity, Sensitivity Analysis
Eventname: 13th Swiss Transport Research Conference (STRC 2013)
Eventdatum: April 24-26, 2013
Ort: Ascona, Switzerland
Sprache: English
Schlüsselwort: Work Zone, Static Merge Control, Microscopic Traffic Simulation, Capacity, Sensitivity Analysis
DBID Quelle: FORM-1369233437
, Ge, Qiao, Ciuffo, Biagio, Menendez, Monica, 2013 >>
Autor(en): Ge, Qiao, Ciuffo, Biagio, Menendez, Monica
Titel: Quasi-OTEE versus Kriging-based approach for the sensitivity analysis of computationally expensive traffic simulation models
Untertitel: An exploratory study
Kurzbeschreibung: Sensitivity Analysis (SA) is widely used in the calibration of traffic simulation models: it provides the modeler better knowledge about the relationship between model inputs and outputs, so the calibration can focus on the most important parameters. However, when the model is computationally expensive and has many parameters, many SA techniques (e.g., Monte Carlo approaches) are unfeasible due to the high computational cost.
Publikationsdatum / Empfangsdatum: 2013-01-01
Publikations-Status: Published
Eventname: 7th International Conference on Sensitivity Analysis of Model Output (SAMO)
Eventdatum: July 1-4, 2013
Ort: Nice, France
Sprache: English
DBID Quelle: FORM-1374757620
, Ge, Qiao, Menendez, Monica, 2012 >>
Autor(en): Ge, Qiao, Menendez, Monica
Titel: Using VISSIM to model traffic in the city of Zürich
Publikationsdatum / Empfangsdatum: 2012-01-01
Publikations-Status: Published
Eventname: IVT-Alumni-Seminar : Verkehrsingenieurtag 2012
Eventdatum: March 8, 2012
Ort: Zürich, Switzerland
Sprache: English
Review-Status: Unknown
DBID Quelle: FORM-1339150930
, Ge, Qiao, Menendez, Monica, 2012 >>
Autor(en): Ge, Qiao, Menendez, Monica
Titel: Sensitivity analysis for calibrating VISSIM in Modeling the Zurich Network
Publikationsdatum / Empfangsdatum: 2012-01-01
Publikations-Status: Published
Eventname: 12th Swiss Transport Research Conference (STRC 2012)
Eventdatum: May 2-4, 2012
Ort: Ascona, Switzerland
Sprache: English
DBID Quelle: FORM-1352443750
, Ge, Qiao, Menendez, Monica, 2012 >>
Autor(en): Ge, Qiao, Menendez, Monica
Titel: Sensitivity Analysis of a Microscopic Traffic Model
Publikationsdatum / Empfangsdatum: 2012-01-01
Publikations-Status: Zürich
Publikations-Status: Published
Eventname: IVT-Alumni-Seminar : Verkehrsingenieurtag 2012
Eventdatum: March 8, 2012
Ort: Zürich, Switzerland
Sprache: English
DBID Quelle: FORM-1345623236
, Ge, Qiao, Menendez, Monica, 2012 >>
Autor(en): Ge, Qiao, Menendez, Monica
Titel: Sensitivity Analysis for Calibrating VISSIM in Modeling the Zurich Network
Kurzbeschreibung: In the last few decades microscopic traffic simulation has grown into a major resource for the researchers and practitioners in the field of traffic engineering. The use of commercial traffic simulators (i.e., software) has become widespread, and these programs have indeed become necessary tools for planning and designing transportation networks. In order for a traffic simulator to accurately describe reality, it must be supported by a valid traffic model, and it must be properly calibrated.VISSIM is one of the most widely used microscopic traffic simulators with many applications and high potential. However, like other commercial microscopic traffic simulators, VISSIM has a very large number of input parameters which makes the model calibration rather difficult. In addition, if the spatial scope of the modeled network is quite large, the calibration will usually be very time consuming. In order to overcome these difficulties, a Sensitivity Analysis (SA) is essentially required as a preliminary step for the model calibration. Through SA the modeler can obtain a better knowledge about the relationship between the model inputs and outputs, and hence focus on the most important parameters for further calibration. This paper is based on a research project to calibrate the VISSIM network model for the inner city of Zurich. The complex network of the inner city makes the computational cost of running the simulation very expensive. Therefore it does not allow using a brute force approach to do the SA. An improved SA method, which is based on the Elementary Effects method, was proposed and applied in this project. This method reduced the computation time required for the SA from 77 days to 2 days for this specific case. The results are presented in this paper. They show that the proposed method is accurate and efficient, especially for dealing with the SA of complex VISSIM networks.
Publikationsdatum / Empfangsdatum: 2012-01-01
Publikations-Status: Published
Einordnungen: Sensitivity Analysis, Elementary Effects Method, Microscopic Traffic Simulation, Network Model Calibration
Eventname: 12th Swiss Transport Research Conference (STRC 2012)
Eventdatum: May 2-4, 2012
Ort: Monte Verità, Ascona
Sprache: English
Schlüsselwort: Sensitivity Analysis, Elementary Effects Method, Microscopic Traffic Simulation, Network Model Calibration
DBID Quelle: FORM-1338376462, FORM-1348671365
, Ge, Qiao, Menendez, Monica, 2012 >>
Autor(en): Ge, Qiao, Menendez, Monica
Titel: A Simulation Study of the Car-to-X Communication Based Merge Traffic Control in Freeway Work Zone
Publikationsdatum / Empfangsdatum: 2012-01-01
Publikations-Status: Published
Eventname: 1st European Symposium on Quantitative Methods in Transportation Systems
Eventdatum: September 4-7, 2012
Ort: Lausanne, Switzerland
Sprache: English
DBID Quelle: FORM-1348670168
, Arnet, Kathrin, Ortigosa, Javier, Ge, Qiao, Menendez, Monica, 2012 >>
Autor(en): Arnet, Kathrin, Ortigosa, Javier, Ge, Qiao, Menendez, Monica
Titel: Study of traffic management strategies in the Zürich area
Publikationsdatum / Empfangsdatum: 2012-01-01
Publikations-Status: Published
Eventname: IVT-Alumni-Seminar : Verkehrsingenieurtag 2012
Eventdatum: March 8, 2012
Ort: Zürich, Switzerland
Sprache: English
Review-Status: Unknown
DBID Quelle: FORM-1339151071
, Menendez, Monica, Ge, Qiao, 2011 >>
Autor(en): Menendez, Monica, Ge, Qiao
Titel: Sensitivity analysis in calibration of traffic microscopic models
Publikationsdatum / Empfangsdatum: 2011-01-01
Publikations-Status: Published
Eventname: COST workshop for MULTITUDE project
Eventdatum: November 24-25, 2011
Ort: Ispra, Italy
Sprache: English
Review-Status: Unknown
DBID Quelle: FORM-1339150688
, Menendez, Monica, Ge, Qiao, 2011 >>
Autor(en): Menendez, Monica, Ge, Qiao
Titel: Analysis and calibration of VISSIM
Publikationsdatum / Empfangsdatum: 2011-01-01
Publikations-Status: Published
Eventname: COST workshop for MULTITUDE project
Eventdatum: June 27-28, 2011
Ort: Stockholm, Sweden
Sprache: English
Review-Status: Unknown
DBID Quelle: FORM-1339150617

 

 

 

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