scholarly journals OPTIMAL SENSOR LOCATION AND ORIGIN–DESTINATION MATRIX OBSERVATION WITH AND WITHOUT SENSORS ON UNCONGESTED NETWORKS

Transport ◽  
2019 ◽  
Vol 35 (3) ◽  
pp. 315-326
Author(s):  
Hadi Karimi ◽  
Seyed-Nader Shetab-Boushehri ◽  
Ali Zeinal Hamadani
Keyword(s):  
Traffic Control ◽  
Road Network ◽  
Transportation Network ◽  
Optimal Number ◽  
Programming Models ◽  
Traffic Network ◽  
Large Network ◽  
Interview Method ◽  
Rapid Changes ◽  
Optimal Sensor Location

The Origin–Destination (O–D) matrix, is an important information in transportation planning and traffic control. Rapid changes in land use, particularly in developing countries, have been and are on an increase, which makes the estimation and observation of this matrix more significant. The objective of this paper is to observe O–D matrix under two scenarios. In the first scenario, it is assumed that the traffic network is equipped with path-ID sensors. In this situation, the goal is to determine the optimal number and location of these sensors in the network, where by applying collected information through these sensors, the O–D matrix is observed. Because path-ID sensors are not available in many cities, in the second scenario the interview alternative is proposed in order to observe O–D matrix. The interview method has encountered some restrictions. Several mathematical programming models have been developed to overcome these restrictions. To illustrate these proposed methodologies, they are applied in the Nguyen–Dupuis transportation network and the results are analysed. By applying the model on the intercity road network in the Province of Isfahan (Iran), a large network, the efficiency of these proposed models is demonstrated. Finally, some conclusions and final recommendations are included.

scholarly journals GIS-Based Urban Road Network Accessibility Modeling Using MLR, ANN and ANFIS Methods

2021 ◽  
Vol 22 (1) ◽  
pp. 15-28
Author(s):  
K. Sai Sahitya ◽  
Csrk Prasad
Keyword(s):  
Network Structure ◽  
Road Network ◽  
Structural Parameters ◽  
Transportation Network ◽  
Sustainable Transportation ◽  
Geographical Information ◽  
Urban Road Network ◽  
Inference System ◽  
Urban Road ◽  
The Road

Abstract A sustainable transportation system is possible only through an efficient evaluation of transportation network performance. The efficiency of the transport network structure is analyzed in terms of its connectivity, accessibility, network development, and spatial pattern. This study primarily aims to propose a methodology for modeling the accessibility based on the structural parameters of the urban road network. Accessibility depends on the arrangement of the urban road network structure. The influence of the structural parameters on the accessibility is modeled using Multiple Linear Regression (MLR) analysis. The study attempts to introduce two methods of Artificial Intelligence (AI) namely Artificial Neural Networks (ANN) and Adaptive network-based neuro-fuzzy inference system (ANFIS) in modeling the urban road network accessibility. The study also focuses on comparing the results obtained from MLR, ANN and ANFIS modeling techniques in predicting the accessibility. The results of the study present that the structural parameters of the road network have a considerable impact on accessibility. ANFIS method has shown the best performance in modeling the road network accessibility with a MAPE value of 0.287%. The present study adopted Geographical Information Systems (GIS) to quantify, extract and analyze different features of the urban transportation network structure. The combination of GIS, ANN, and ANFIS help in improved decision-making. The results of the study may be used by transportation planning authorities to implement better planning practices in order to improve accessibility.

scholarly journals Reliability Assessment of Road Network Operation

2021 ◽  
Vol 334 ◽  
pp. 02009
Author(s):  
Maxim Sharov ◽  
Alexey Levashev ◽  
Alexander Mikhailov
Keyword(s):  
Performance Appraisal ◽  
Russian Federation ◽  
Traffic Control ◽  
Road Network ◽  
Network Performance ◽  
Network Reliability ◽  
Reliability Assessment ◽  
Peak Period ◽  
Highway Network ◽  
Network Operation

In the frame of the project «Criteria of traffic control quality and effectiveness in Russian Federation» the Transportation Laboratory of ISTU was invoved into elaboration of network performance appraisal. Two alternative congestion measures were considered. The ratio of peak period to free flow travel times was proposed as a test criterion of urban highway network reliability.

scholarly journals PARTICULARITIES OF AUTOMATED TRAFFIC CONTROL SYSTEMS IN THE CITIES OF UKRAINE

2013 ◽  
Vol 5 (5) ◽  
pp. 572-577 ◽  
Author(s):  
A. Stepanchuk ◽  
A. Bieliatynskyi ◽  
A. Pylypenko
Keyword(s):  
Control Systems ◽  
Traffic Control ◽  
Road Traffic ◽  
Traffic Network ◽  
Basic Concepts ◽  
Further Development

The article considers the basic concepts concerningthe possibility of increasing the efficiency and capacity of theroad traffic network in the cities of Ukraine. The paper alsoanalyzes some of the measures to improve road traffic managementthrough the further development of an automated trafficcontrol system.

Development of an XML-Based Specification for Traffic Model Data Exchange

2002 ◽  
Vol 1804 (1) ◽  
pp. 144-150
Author(s):  
Kenneth G. Courage ◽  
Scott S. Washburn ◽  
Jin-Tae Kim
Keyword(s):  
Traffic Control ◽  
Data Exchange ◽  
Transportation Network ◽  
Data Entry ◽  
Data Representation ◽  
Traffic Model ◽  
Model Data ◽  
Traffic Demand ◽  
Data Formats ◽  
Data Files

The proliferation of traffic software programs on the market has resulted in many very specialized programs, intended to analyze one or two specific items within a transportation network. Consequently, traffic engineers use multiple programs on a single project, which ironically has resulted in new inefficiency for the traffic engineer. Most of these programs deal with the same core set of data, for example, physical roadway characteristics, traffic demand levels, and traffic control variables. However, most of these programs have their own formats for saving data files. Therefore, these programs cannot share information directly or communicate with each other because of incompatible data formats. Thus, the traffic engineer is faced with manually reentering common data from one program into another. In addition to inefficiency, this also creates additional opportunities for data entry errors. XML is catching on rapidly as a means for exchanging data between two systems or users who deal with the same data but in different formats. Specific vocabularies have been developed for statistics, mathematics, chemistry, and many other disciplines. The traffic model markup language (TMML) is introduced as a resource for traffic model data representation, storage, rendering, and exchange. TMML structure and vocabulary are described, and examples of their use are presented.

scholarly journals Locating Battery Swapping Stations for a Smart e-Bus System

2020 ◽  
Vol 12 (3) ◽  
pp. 1142 ◽  
Author(s):  
Joon Moon ◽  
Young Joo Kim ◽  
Taesu Cheong ◽  
Sang Hwa Song
Keyword(s):  
Integer Programming ◽  
Electric Vehicles ◽  
Metropolitan Area ◽  
Public Transportation ◽  
Set Covering ◽  
Programming Models ◽  
Traffic Network ◽  
Seoul Metropolitan Area ◽  
Model Flow

With the growing interest and popularity of electric vehicles (EVs), the electrification of buses has been progressing recently. To achieve the seamless operation of electric buses (e-Buses) for public transportation, some bus stations should play the role of battery swapping station due to the limited travel range of e-Buses. In this study, we consider the problem of locating battery swapping stations for e-Buses on a passenger bus traffic network. For this purpose, we propose three integer programming models (set-covering-based model, flow-based model and path-based model) to model the problem of minimizing the number of stations needed. The models are applied and tested on the current bus routes in the Seoul metropolitan area of South Korea.

scholarly journals Urban Traffic Signal System Control Structural Optimization Based on Network Analysis

2013 ◽  
Vol 2013 ◽  
pp. 1-9 ◽  
Author(s):  
Li Wang ◽  
Xiao-ming Liu ◽  
Zhi-jian Wang ◽  
Zheng-xi Li
Keyword(s):  
Control System ◽  
Network Analysis ◽  
Traffic Control ◽  
Traffic Signal ◽  
Urban Traffic ◽  
Analysis Approach ◽  
System Control ◽  
Traffic Network ◽  
Operation Performance ◽  
Traffic Control System

Advanced urban traffic signal control systems such as SCOOT and SCATS normally coordinate traffic network using multilevel hierarchical control mechanism. In this mechanism, several key intersections will be selected from traffic signal network and the network will be divided into different control subareas. Traditionally, key intersection selection and control subareas division are executed according to dynamic traffic counts and link length between intersections, which largely rely on traffic engineers’ experience. However, it omits important inherent characteristics of traffic network topology. In this paper, we will apply network analysis approach into these two aspects for traffic system control structure optimization. Firstly, the modified C-means clustering algorithm will be proposed to assess the importance of intersections in traffic network and furthermore determine the key intersections based on three indexes instead of merely on traffic counts in traditional methods. Secondly, the improved network community discovery method will be used to give more reasonable evidence in traffic control subarea division. Finally, to test the effectiveness of network analysis approach, a hardware-in-loop simulation environment composed of regional traffic control system, microsimulation software and signal controller hardware, will be built. Both traditional method and proposed approach will be implemented on simulation test bed to evaluate traffic operation performance indexes, for example, travel time, stop times, delay and average vehicle speed. Simulation results show that the proposed network analysis approach can improve the traffic control system operation performance effectively.

scholarly journals Bi-Level Optimization in a Transport Network

2015 ◽  
Vol 15 (5) ◽  
pp. 37-49 ◽  
Author(s):  
Todor Stoilov ◽  
Krasimira Stoilova ◽  
Markos Papageorgiou ◽  
Ioannis Papamichail
Keyword(s):  
Traffic Control ◽  
Optimization Problem ◽  
Transportation Network ◽  
Urban Transportation ◽  
Light Cycle ◽  
Constant Parameter ◽  
Optimal Solutions ◽  
Traffic Light ◽  
Control Space ◽  
Store And Forward

Abstract This paper applies a bi-level formalism for the optimal control of an urban transportation network. The well known store-and-forward model in traffic control is utilized in order to increase the control space of the optimization problem. Mainly, the store-and-forward models apply the split as a control argument, assuming the traffic light cycle as a constant parameter. The paper shows that by using a bi-level formalism the control problem can be defined within increased control space comprising both the split and the cycle. Both are found as optimal solutions of a bi-level optimization problem.

Vulnerability Assessment of Urban Intersections apropos of Incident Impact on Road Network and Identification of Critical Intersections

2020 ◽  
Vol 2674 (8) ◽  
pp. 672-686
Author(s):  
Kaniska Ghosh ◽  
Bhargab Maitra
Keyword(s):  
Expert Opinion ◽  
Vulnerability Assessment ◽  
Road Network ◽  
Transportation Network ◽  
Management Strategies ◽  
Management Program ◽  
Incident Management ◽  
Present Context ◽  
Aggregate Network ◽  
Traffic Incident Management

One of the major challenges in a transportation network management program is responding to traffic incidents such as traffic crashes, disabled vehicles, spilled cargo, road debris, and so forth, at or near intersections. Intersections are vulnerable with respect to their susceptibility to incidents, therefore, it is important to assess their vulnerability to identify critical intersections for preparing traffic incident management strategies. In the present work, vulnerability of an intersection was measured in relation to the incident impact on surrounding road network using average aggregate network delay. Taking the case study of an urban arterial road network in Kolkata city, a methodology was demonstrated to assess the vulnerability of intersections using traffic microsimulation during peak and off-peak periods. A traffic microsimulation model was developed for this purpose and different incident scenarios were simulated to assess the vulnerability of various intersections. The intersections were then ranked in order of their vulnerability. Some key factors governing vulnerability of intersections were identified and an expert opinion survey was also conducted to assess the location-specific relevance of those factors for both peak and off-peak hour conditions using fuzzy analysis. Based on the analysis of expert opinion data, intersections were also ranked as per their vulnerability for comparative purposes. The rankings of intersections as obtained from traffic microsimulation and expert opinion analyses were found to be in agreement in the present context. However, traffic microsimulation as an approach is preferred over expert opinion because of its inherent strengths for vulnerability assessment and identification of critical intersections.

scholarly journals Optimal Agricultural Credit Association Branch Office Locations

2003 ◽  
Vol 35 (1) ◽  
pp. 127-141 ◽  
Author(s):  
Timi M. Scaletta ◽  
Jeffrey R. Stokes
Keyword(s):  
Integer Programming ◽  
Optimal Number ◽  
Programming Models ◽  
Mixed Integer ◽  
Credit System ◽  
Agricultural Credit ◽  
Farm Credit ◽  
Farm Credit System ◽  
Branch Office ◽  
Credit Association

Since the farm financial crisis of the 1980s, Farm Credit System banks continue to merge and consolidate to enhance competitiveness. Two mixed-integer programming models of AgChoice Agricultural Credit Association (ACA), a recently merged ACA in Pennsylvania, were developed to determine the optimal number, location, and territory of branches. The approach suggests useful information can be determined regarding the reconfiguration process after bank mergers, especially given the fact that the current AgChoice ACA configuration is available for comparison purposes.

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