• Title/Summary/Keyword: Realistic Traffic

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A Systolic Parallel Simulation System for Dynamic Traffic Assignment : SPSS-DTA

  • Park, Kwang-Ho;Kim, Won-Kyu
    • Journal of Intelligence and Information Systems
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    • v.6 no.1
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    • pp.113-128
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    • 2000
  • This paper presents a first year report of an ongoing multi-year project to develop a systolic parallel simulation system for dynamic traffic assignment. The fundamental approach to the simulation is systolic parallel processing based on autonomous agent modeling. Agents continuously act on their own initiatives and access to database to get the status of the simulation world. Various agents are defined in order to populate the simulation world. In particular existing modls and algorithm were incorporated in designing the behavior of relevant agents such as car-following model headway distribution Frank-Wolf algorithm and so on. Simulation is based on predetermined routes between centroids that are computed off-line by a conventional optimal path-finding algorithm. Iterating the cycles of optimization-then-simulation the proposed system will provide a realistic and valuable traffic assignment. Gangnum-Gu district in Seoul is selected for the target are for the modeling. It is expected that realtime traffic assignment services can be provided on the internet within 3 years.

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Assessment of ride safety based on the wind-traffic-pavement-bridge coupled vibration

  • Yin, Xinfeng;Liu, Yang;Chen, S.R.
    • Wind and Structures
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    • v.24 no.3
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    • pp.287-306
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    • 2017
  • In the present study, a new assessment simulation of ride safety based on a new wind-traffic-pavement-bridge coupled vibration system is developed considering stochastic characteristics of traffic flow and bridge surface. Compared to existing simulation models, the new assessment simulation focuses on introducing the more realistic three-dimensional vehicle model, stochastic characteristics of traffic, vehicle accident criteria, and bridge surface conditions. A three-dimensional vehicle model with 24 degrees-of-freedoms (DOFs) is presented. A cellular automaton (CA) model and the surface roughness are introduced. The bridge deck pavement is modeled as a boundless Euler-Bernoulli beam supported on the Kelvin model. The wind-traffic-pavement-bridge coupled equations are established by combining the equations of both the vehicles in traffic, pavement, and bridge using the displacement and interaction force relationship at the patch contact. The numerical simulation shows that the proposed method can simulate rationally useful assessment and prevention information for traffic, and define appropriate safe driving speed limits for vulnerable vehicles under normal traffic and bridge surface conditions.

A study on the railway signal system for high density traffic (열차의 고밀도운전을 위한 신호보안 시스템에 관한 연구)

  • 강규현;김희식
    • 제어로봇시스템학회:학술대회논문집
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    • 1997.10a
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    • pp.163-166
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    • 1997
  • In order to shorten head-way time on existing railway lines without any change of signal block length between stations, it is a realistic optional way to change the control method of train signal, i.e. to modernize the cab signal using transponder. A new signalling system of operation pattern control technique is suggested as new model to increase the railway traffic efficiency. Through the computer simulation of this model, the train head-way time by the fixed signalling system and the new pattern control system is analyzed.

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A Genetic Algorithm for Searching Shortest Path in Public Transportation Network (대중교통망에서의 최단경로 탐색을 위한 유전자 알고리즘)

  • 장인성;박승헌
    • Korean Management Science Review
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    • v.18 no.1
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    • pp.105-118
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    • 2001
  • The common shortest path problem is to find the shortest route between two specified nodes in a transportation network with only one traffic mode. The public transportation network with multiple traffic mode is a more realistic representation of the transportation system in the real world, but it is difficult for the conventional shortest path algorithms to deal with. The genetic algorithm (GA) is applied to solve this problem. The objective function is to minimize the sum of total service time and total transfer time. The individual description, the coding rule and the genetic operators are proposed for this problem.

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A Study on the Efficient Design of WDM Network and Shortest Path Routing Scheme (WDM 네트워크의 효율적인 설계와 최단경로 라우팅 방안에 관한 연구)

  • 오호일;김장복
    • Proceedings of the IEEK Conference
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    • 2001.06a
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    • pp.349-352
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    • 2001
  • In this paper, the design of WDM network using the traffic estimation modeling is implemented. Because of the lack of data of real traffic volumes, the information of statistic data is used. Using the modeling results, the WDM channels are assinged for each node, and the network is simulated using OPNET simulation tools. Here, we investigate the shortest routing scheme using OPNET simulation tools. As a result the realistic WDM network design for Korea topology is proposed.

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A New Optimization System for Designing Broadband Convergence Network Access Networks (Broadband Convergence Network 가입자 망 설계 시스템 연구)

  • Lee, Young-Ho;Jung, Jin-Mo;Kim, Young-Jin;Lee, Sun-Suk;Park, No-Ik;kang, Kuk-Chang
    • Korean Management Science Review
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    • v.23 no.2
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    • pp.161-174
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    • 2006
  • In this paper, we consider a network optimization problem arising from the deployment of BcN access network. BcN convergence services requires that access networks satisfy QoS meausres. BcN services have two types of traffics : stream traffic and elastic traffic. Stream traffic uses blocking probability as a QoS measure, while elastic traffic uses delay factor as a QoS measure. Incorporating the QoS requirements, we formulate the problem as a nonlinear mixed-integer Programming model. The Proposed model seeks to find a minimum cost dimensioning solution, while satisfying the QoS requirement. We propose two local search heuristic algorithms for solving the problem, and develop a network design system that implements the developed heuristic algorithms. We demonstrate the computational efficacy of the proposed algorithm by solving a realistic network design problem.

A Self-adjusting CN(Car Navigation) Algorithm on Digital Map using Traffic and Directional Information (디지탈 맵에서의 동적환경 적응형 차량 항법 알고리즘)

  • 이종헌;김영민;이상준
    • Journal of Internet Computing and Services
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    • v.3 no.6
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    • pp.35-41
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    • 2002
  • The Car Navigation System(CNS) requires lots of memory and calculating time because it works on the large and complex digital map. And the traffic circumstances vary time by time, so the traffic informations should be processed if we want to get mere realistic result. This paper proposes an effective path searching algorithm which uses less memories and calculating time by applying directional information between the starting place and destination place and by using realtime traffic informations.

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Link Dimensioning for Multiplexed M2M Traffic

  • Lee, Hoon
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.39C no.1
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    • pp.106-113
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    • 2014
  • This work proposes an analytic framework to estimate the capacity of the link in an M2M gateway that multiplexes a massive number of machine type communication devices. First, we specify the network architecture for M2M communications. Next, we summarize the characteristics of M2M traffic, from which we extract an area about the problem that has to be resolved in the dimensioning of the link capacity. After that we propose a new method to determine the capacity of the link in an M2M gateway. Via numerical experiment reflecting the realistic environment of M2M traffic, we illustrate the validity of the proposed model.

Development of More Realistic Overtaking Behavior Model in CA-Based Two-Lane Highway Environment (CA 2차로 도로 차량모형의 보다 현실적인 추월행태 개발)

  • Yoon, Byoung Jo
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.33 no.6
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    • pp.2473-2481
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    • 2013
  • The two characteristics of two-lane-and-two-way traffic flow are platoon and overtaking triggered by low-speed vehicle. It is crucial to develop a robust model which simultaneously generates the behaviors of platoon by low-speed vehicle and overtaking using opposite lane. Hence, a microscopic two-lane and two-way vehicle model was introduced (B. Yoon, 2011), which is based on CA (Cellular Automata) which is one of discrete time-space models, in Korea. While the model very reasonably explains the behaviour of overtaking low-speed vehicle in stable traffic flow below critical density, it has shortcomings to the overtaking process in unstable traffic flow above the critical density. Therefore, the objective of this study is to develope a vehicle model to more realistically explain overtaking process in unstable traffic flow state based on the model developed in the previous study. The experimental results revealed that the car-following model robustly generates the various macroscopic relationships of traffic flow generating stop-and-go traffic flow and the overtaking model reasonably explains the behaviors of overtaking under the conditions of both opposite traffic flow and stochastic parameter to consider overtaking in unstable traffic flow state. The vehicle model presented in this study can be expected to be utilized for the analysis of two-lane-and-two-way traffic flows more realistically than before.

Design and Implementation of Cyber Warfare Training Data Set Generation Method based on Traffic Distribution Plan (트래픽 유통계획 기반 사이버전 훈련데이터셋 생성방법 설계 및 구현)

  • Kim, Yong Hyun;Ahn, Myung Kil
    • Convergence Security Journal
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    • v.20 no.4
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    • pp.71-80
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    • 2020
  • In order to provide realistic traffic to the cyber warfare training system, it is necessary to prepare a traffic distribution plan in advance and to create a training data set using normal/threat data sets. This paper presents the design and implementation results of a method for creating a traffic distribution plan and a training data set to provide background traffic like a real environment to a cyber warfare training system. We propose a method of a traffic distribution plan by using the network topology of the training environment to distribute traffic and the traffic attribute information collected in real and simulated environments. We propose a method of generating a training data set according to a traffic distribution plan using a unit traffic and a mixed traffic method using the ratio of the protocol. Using the implemented tool, a traffic distribution plan was created, and the training data set creation result according to the distribution plan was confirmed.