scholarly journals Modeling and Simulation to Improve the Efficiency of Transportation Systems: A Tool for Decision Support

2020 ◽  
Author(s):  
Erma Suryani ◽  
Rully Agus Hendrawan ◽  
Philip Faster Eka Adipraja ◽  
Rarasmaya Indraswari ◽  
Ervina Ahyudanari ◽  
...  
Keyword(s):  
Decision Support ◽  
Transportation System ◽  
Transportation Systems ◽  
Dynamics Simulation ◽  
Time Lags ◽  
System Efficiency ◽  
Transport Planning ◽  
Complex Decision Making ◽  
Development Route ◽  
Use Of Models

Abstract This paper addresses problem solving and complex decision making in the management of transportation operations under environmental dynamics through the use of models and scenarios. A system dynamics simulation was used to model and analyze the efficiency of transportation systems as a tool for decision support to improve efficiency. Transportation systems are complex because they involve a number of different stakeholders, resulting in feedback with different time lags between the responses of all entities. Data and information were collected from the Transportation Department of Surabaya city. Several scenarios to improve the efficiency of transportation systems were developed by modifying the structure and parameters of the model. Several factors influence the efficiency of transportation system: traffic network, conventional roadway, accessibility based transport planning, multi modal transport, planning efficiency, and resources efficient modes (economic category). By implementing a number of strategies (such as the improvement of planning efficiency; multimodal transport development; route-based performance improvement), transportation system efficiency in Surabaya was predicted to be improved from 56% in 2019 to 66% in 2040. The novel contributions of this research are: formulating relationships among several variables, modeling dynamic behavior of transportation system efficiency, and building scenario models to improve transportation operation efficiency. This research contributes to the literature by investigating these relationships through the use of models and experimental scenarios.

scholarly journals An Ex Ante Analysis of the Planned Transportation Network in the Region of Extremadura (Spain) by Using Physical Parameters

2021 ◽  
Vol 13 (11) ◽  
pp. 5947
Author(s):  
Pedro Plasencia-Lozano
Keyword(s):  
Social Change ◽  
Transportation Network ◽  
Transportation System ◽  
Current Situation ◽  
Physical Parameters ◽  
Transport Planning ◽  
Regional Transport ◽  
Ex Ante ◽  
Transport Analysis ◽  
Spanish Region

Some relevant transport infrastructures are expected to be built in Extremadura, a Spanish region. Future investments could transform the regional transportation system and therefore could act as an important lever for economic and social change. The text describes the current situation and also the planned infrastructures, and an ex ante study is developed. The research has set the deficiencies of Extremadura in terms of transportation network, but current planning proves that the rail and airport infrastructures in Extremadura are set to involve a significant change of model. Moreover, the importance of taking into consideration the transport planning documents of neighboring countries in the transport analysis of bordering regions and the negative consequence of designing national and regional transport plans without considering the neighboring plans have been described.

Simplex-Based Calibration of Traffic Microsimulation Models with Intelligent Transportation Systems Data

2003 ◽  
Vol 1855 (1) ◽  
pp. 80-89 ◽  
Author(s):  
Kyu-Ok Kim ◽  
L. R. Rilett
Keyword(s):  
Intelligent Transportation Systems ◽  
Urban Areas ◽  
System Modeling ◽  
Intelligent Transportation ◽  
Simplex Algorithm ◽  
Transportation System ◽  
Transportation Systems ◽  
Test Bed ◽  
Morning Peak ◽  
Microsimulation Models

In recent years, microsimulation has become increasingly important in transportation system modeling. A potential issue is whether these models adequately represent reality and whether enough data exist with which to calibrate these models. There has been rapid deployment of intelligent transportation system (ITS) technologies in most urban areas of North America in the last 10 years. While ITSs are developed primarily for real-time traffic operations, the data are typically archived and available for traffic microsimulation calibration. A methodology, based on the sequential simplex algorithm, that uses ITS data to calibrate microsimulation models is presented. The test bed is a 23-km section of Interstate 10 in Houston, Texas. Two microsimulation models, CORSIM and TRANSIMS, were calibrated for two different demand matrices and three periods (morning peak, evening peak, and off-peak). It was found for the morning peak that the simplex algorithm had better results then either the default values or a simple, manual calibration. As the level of congestion decreased, the effectiveness of the simplex approach also decreased, as compared with standard techniques.

scholarly journals Validation of a Model Appropriateness Framework Using the Elbe Decision Support System

2011 ◽  
pp. 193-218
Author(s):  
Yue-Ping Xu ◽  
Martijn J. Booij
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
River Basin ◽  
Support System ◽  
River Basin Management ◽  
Development Stage ◽  
Decision Makers ◽  
Basin Management ◽  
Use Of Models

This paper describes validation of an appropriateness framework, which has been developed in a former study, to determine appropriate models under uncertainty in a decision support system for river basin management. Models are regarded as ‘appropriate’ if they produce final outputs within adequate uncertainty bands that enable decision-makers to distinguish or rank different river engineering measures. The appropriateness framework has been designed as a tool to stimulate the use of models in decision-making under uncertainty and to strengthen the communication between modelers and decision-makers. Through the application to a different river with different objectives in this validation study from the river used in the development stage, this paper investigates whether the appropriateness framework works in a different situation than it was designed for. Recommendations from the development stage are taken into account in this validation case study as well. The final results from the study showed a successful validation of the appropriateness framework and suggested further possibilities for the application in decision support systems for river basin management.

Transportation systems’ impacts on the Vilnius housing market

2019 ◽  
Vol 57 (2) ◽  
pp. 418-431 ◽  
Author(s):  
Virgilija Vasiliene-Vasiliauskiene ◽  
Aidas Vasilis Vasiliauskas ◽  
Rišard Golembovskij ◽  
Ieva Meidute-Kavaliauskiene ◽  
Edmundas Kazimieras Zavadskas ◽  
...  
Keyword(s):  
Housing Market ◽  
Housing Markets ◽  
Transportation System ◽  
Transportation Systems ◽  
Sustainable Urban Development ◽  
Quantitative Methodology ◽  
Analytic Hierarchy ◽  
Content Type ◽  
System Factors ◽  
Hierarchy Process

Purpose The purpose of this paper is to develop a better understanding of how transportation system factors affect city housing markets. The goal was to show that identifying these factors alone is not enough without also examining their effects and variations according to the housing location. Design/methodology/approach Transportation system factors were identified by conducting a thorough literature review. The factors’ relevance was tested using a quantitative methodology and a sample of 317 Vilnius residents. This city was next divided into three zones, and data collected from 18 real estate experts was subjected to qualitative analysis. The analytic hierarchy process was then applied to identify transportation system factors’ level of impact and dynamics by the housing location. Findings The results show that the factors affect the housing market in question but that these effects vary by the housing location and the most critical factors differ for each city zone. Research limitations/implications Only data on Vilnius were used. Further research is needed to compare transportation factors’ dynamics in multiple cities. Practical implications Priorities in transportation system improvements should be assessed to facilitate sustainable urban development and enhance the residents’ quality of life. Housing market regulations can only be successful if investment in transportation systems is allocated purposefully and coherently. Originality/value This research went beyond identifying transportation system factors by employing a broad, systematic approach to clarifying potential options for regulating housing markets through transportation system projects.

Simulation in Marine Transportation System

1989 ◽  
Vol 26 (01) ◽  
pp. 74-85
Author(s):  
Khabirul Haque Chowdhury
Keyword(s):  
Real Life ◽  
Transportation System ◽  
Transportation Systems ◽  
Computer Simulation Model ◽  
Marine Transportation ◽  
Operating Variables ◽  
Productivity Data ◽  
Real Life Data ◽  
Port System ◽  
Total Model

This paper describes a computer simulation model as an essential technique to examine alternative marine transportation systems. A two-port system with a two-deck roll-on/roll-off (RO/RO) ship has been taken for the study to represent a short sea transportation system. All operating variables, including those which exhibit random variation in the RO/RO transportation system, have been incorporated. Productivity data for varying number of tugmasters and for alternative internal access options have been obtained partly from physical observation and partly from the output of a simplified mathematical model. A simple economic model has been incorporated to enable the total model to produce the relevant output for the alternatives. The model also produces as output various histograms for some of the operational indices of interest. In the absence of enough real-life data for comparison, some of the results have been verified through the opinion of experts. It was found that such simulation studies are useful and indeed practical tools for the analysis of complex marine transportation systems.

Communication Networks to Connect Moving Vehicles to Transportation Systems to Infrastructure

2015 ◽  
pp. 815-835
Author(s):  
Kira Kastell
Keyword(s):  
Wireless Communication ◽  
Communication Networks ◽  
Data Transfer ◽  
Critical Role ◽  
Transportation System ◽  
Transportation Systems ◽  
Wireless Access Networks ◽  
Mobility Data ◽  
Wireless Communication Network ◽  
Moving Vehicles

Communication in transportation systems not only involves the communication inside a vehicle, train, or airplane but it also includes the transfer of data to and from the transportation system or between devices belonging to that system. This will be done using different types of wireless communication. Therefore in this chapter, first, the fundamentals of mobile communication networks are shortly described. Thereafter, possible candidate networks are discussed. Their suitability for a certain transportation system can be evaluated taking into consideration the system's requirements. Among the most prominent are the influence of speed and mobility, data rate and bit error rate constraints, reliability of the system and on-going connections. As in most of the cases, there will be no single best wireless communication network to fulfil all requirements, and in this chapter also hybrid networks are discussed. These are networks consisting of different (wireless) access networks. The devices may use the best suited network for a given situation but also change to another network while continuing the on-going connection or data transfer. Here the design of the handover or relocation plays a critical role as well as localization.

Decision Support Systems and Decision-Making Processes

2010 ◽  
pp. 135-143 ◽  
Author(s):  
Udo Richard Averweg
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support Systems ◽  
Support Systems ◽  
Management Problem ◽  
Upper Management ◽  
Structured Problems ◽  
Decision Making Processes ◽  
Complex Decision Making ◽  
Computer Based

Decision support systems (DSS) deal with semi-structured problems. Such problems arise when managers in organisations are faced with decisions where some but not all aspects of a task or procedure are known. To solve these problems and use the results for decision-making requires judgement of the manager using the system. Typically such systems include models, data manipulation tools, and the ability to handle uncertainty and risk. These systems involve information and decision technology (Forgionne, 2003). Many organisations are turning to DSS to improve decision-making (Turban, McLean, & Wetherbe, 2004). This is a result of the conventional information systems (IS) not being sufficient to support an organisation’s critical response activities—especially those requiring fast and/or complex decision-making. In general, DSS are a broad category of IS (Power, 2003). A DSS is defined as “an interactive, flexible, and adaptable computer-based information system, specially developed for supporting the solution of a non-structured management problem for improved decision-making. It utilises data, it provides easy user interface, and it allows for the decision maker’s own insights” (Turban, 1995). There is a growing trend to provide managers with IS that can assist them in their most important task—making decisions. All levels of management can benefit from the use of DSS capabilities. The highest level of support is usually for middle and upper management (Sprague & Watson, 1996). The question of how a DSS supports decision-making processes will be described in this article. This article is organised as follows: The background to decisionmaking is introduced. The main focus (of this article) describes the development of the DSS field. Some future trends for the DSS field are then suggested. Thereafter a conclusion is given.

Assessing the Existing Bursa Light Rail Transportation System

2020 ◽  
Vol 2674 (10) ◽  
pp. 250-260
Author(s):  
Mehmet Rizelioğlu ◽  
Turan Arslan
Keyword(s):  
Traffic Congestion ◽  
Transportation System ◽  
Transportation Systems ◽  
Bus Rapid Transit ◽  
Light Rail ◽  
Rail Transportation ◽  
Transit System ◽  
Transit Systems ◽  
Negative Impacts

As car ownership soars, traffic congestion and its associated negative impacts have become real concerns in many cities around the world. Therefore, transportation systems that perform better in eliminating or reducing traffic congestion and related problems to tolerable levels have become imperative. Alternative transit systems should be assessed properly to accommodate the expected demand in the long term, at least, to some significant extent. However, this is generally neglected in developing countries and, among many possible alternatives, a popular transportation system is usually preferred within the available budget. As an example, Bursa Metropolitan Municipality, Turkey, has recently implemented a light rail transportation system (LRT) on its major east–west corridor as the main transit system. In this study, the existing LRT is assessed and its performance is compared with a hypothetical bus rapid transit (BRT) system, which is a strong contender and comparatively a lower-cost alternative. This is done to assess whether the LRT was the better choice in relation to the current demand. Therefore, in this study, the existing LRT system is first defined in the PTV VISSIM simulation environment. Then, the hypothetical BRT system is considered on the same route with the current demand. The capability and capacities of the existing LRT and the BRT system are assessed and compared in many aspects. The results are compared, and important findings are outlined.

Decision Support Systems and Decision-Making Processes

2010 ◽  
pp. 218-224 ◽  
Author(s):  
Udo Richard Averweg
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support Systems ◽  
Support Systems ◽  
Management Problem ◽  
Upper Management ◽  
Structured Problems ◽  
Decision Making Processes ◽  
Complex Decision Making ◽  
Computer Based

Decision support systems (DSS) deal with semi-structured problems. Such problems arise when managers in organisations are faced with decisions where some but not all aspects of a task or procedure are known. To solve these problems and use the results for decision-making requires judgement of the manager using the system. Typically such systems include models, data manipulation tools, and the ability to handle uncertainty and risk. These systems involve information and decision technology (Forgionne, 2003). Many organisations are turning to DSS to improve decision-making (Turban, McLean, & Wetherbe, 2004). This is a result of the conventional information systems (IS) not being sufficient to support an organisation’s critical response activities—especially those requiring fast and/or complex decision-making. In general, DSS are a broad category of IS (Power, 2003). A DSS is defined as “an interactive, flexible, and adaptable computer-based information system, specially developed for supporting the solution of a non-structured management problem for improved decision-making. It utilises data, it provides easy user interface, and it allows for the decision maker’s own insights” (Turban, 1995). There is a growing trend to provide managers with IS that can assist them in their most important task—making decisions. All levels of management can benefit from the use of DSS capabilities. The highest level of support is usually for middle and upper management (Sprague & Watson, 1996). The question of how a DSS supports decision-making processes will be described in this article. This article is organised as follows: The background to decisionmaking is introduced. The main focus (of this article) describes the development of the DSS field. Some future trends for the DSS field are then suggested. Thereafter a conclusion is given.

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