• Title/Summary/Keyword: route guidance system

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Optimal evacuation route guidance system using recreational forest 3D scan data (휴양림 3D 스캔 데이터를 통한 최적 대피로 안내 시스템)

  • Jung, Sanghun;Gwon, Eunhye;Son, Hoon;Kang, Soyoung;Jung, Heokyung
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2021.05a
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    • pp.258-259
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    • 2021
  • Forest lodge are divided into forest resources, auxiliary facilities, and users, and are constantly being used along with well-being culture. In addition, attention to the safety of users is also required, and this study aims to study how users evacuate within a short time (golden time) in situations of natural disasters that may occur in forests. In order to search for the current location of the user and find the best evacuation route, 3D scans of the entire forest lodge(forest resources, auxiliary facilities, etc.) are performed, and the optimal trajectory to the evacuation site is found through recognition of the current location. It is believed that it is possible to provide a quick evacuation guide through a mobile device with gps.

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ITS System Architecture based upon Object-oriented Methodology (객체지향 기반의 ITS 시스템 아키텍쳐 구축방안)

  • Yoon, Byoungjo
    • Journal of the Society of Disaster Information
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    • v.12 no.1
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    • pp.105-115
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    • 2016
  • The purpose of this study is to present in-vehicle dynamic route guidance systems based upon object-oriented ITS LSA. We expect to apply efficiently for connection and expansion of systems what is more to present systems based upon object-oriented of the other ITS LSA.

A Study on Data Model Migration for Transportation Digital Map to be available as a Raw Database of Car Navigation System (차량 항법용 원도로 활용하기위한 교통 주제도 데이터 모델 전환에 관한 연구)

  • Hahm, Chang-Hahk;Joo, Yong-Jin
    • Journal of Korean Society for Geospatial Information Science
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    • v.18 no.3
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    • pp.67-74
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    • 2010
  • The aim of this paper is to come up with a methodology of migration for current transportation digital map in order to construct NDRM, which is the most essential map data for car navigation system. The model suggested through our study is able to efficiently produce navigable service map for route finding and guidance as well as to make the best of general road network developed by KOTI.

Pedestrian Network Models for Mobile Smart Tour Guide Services

  • Jwa, Jeong-Woo
    • International Journal of Internet, Broadcasting and Communication
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    • v.8 no.1
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    • pp.27-32
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    • 2016
  • The global positioning system (GPS)-enabled mobile phones provide location-based applications such as car and pedestrian navigation services. The pedestrian navigation services provide safe and comfortable route and path guidance for pedestrians and handicapped or elderly people. One of the essential components for a navigation system is a spatial database used to perform navigation and routing functions. In this paper, we develop modeling and categorization of pedestrian path components for smart tour guide services using the mobile pedestrian navigation application. We create pedestrian networks using 2D base map and sky view map in urban area. We also construct pedestrian networks and attributes of node, link, and POI using on-site GPS data and photos for smart pedestrian tour guide in the major walking tourist spots in Jeju.

Design and Implementation of Space Time Point for Real-time Public Transportation Route Guidance (실시간 대중교통 경로안내를 위한 Space Time Point 모델의 설계와 구현)

  • Kim, Soo-Ho;Joo, Yong-Jin;Park, Soo-Hong
    • Spatial Information Research
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    • v.20 no.3
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    • pp.83-93
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    • 2012
  • Recent environmental concerns have made interest in environment-friendly transportation means such as walking, biking, and public transportation. However, since it is difficult to move long distance by walking or biking, their scope of application is rather limited. On the other hand, public transportation can solve traffic congestion, a recent social issue, though its usability may depend on its time schedule. Currently available information services on public transportation in the Web do not reflect well such traits of the public transportation; thus, in some cases, they may provide wrong information to end users. To solve such problems and provide information based on timetable of public transportations, this paper proposes a STP(Space Time Point) data model. Unlike existing space-time data models, this model recognizes the bottommost element of an object as a point and structures these points in hierarchical way to define an object. In particular, It can make it possible to implement a variety of dynamic spatial objects changing object information according to time. An objective of this study is to design a STP model for bus and subway based on timetables of public transportation in Daejeon area and builds a system to provide path navigation. With the designed navigation function, a path from the Daejeon National Cemetery to Hannam University was searched by time slot. The result showed that the system provided different paths by time, as the system guided different paths when bus operation was limited in midnight. As existing data model could not provide such results, it is confirmed that the system can provide path navigation based on real-time traffic information. It is expected that based on such functionality, it is possible to provide additional functionalities by applying diverse data models such as real-time transport information or traffic history information.

Development of Bicyclists' Route Choice Model Considering Slope Gradient (경사도 에너지 소모량을 고려한 자전거 경로 선택 모형 개발)

  • Lee, Kyu-Jin;Ryu, Ingon
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.19 no.3
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    • pp.62-74
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    • 2020
  • Although the government and local governments devote efforts to activate bicycles, they only access to the supply infrastructure such as bike lanes and the public bicycle rental service centers without considering the measures to overcome the geographical constraints of slope. Therefore, this study constructs bicyclist's energy consumption estimation model through experimental methods of slope gradient and heart rate measurement and suggest the bicycle route choice model which could minimize the energy by the slope gradient. After calculating the RMSE of the estimated energy consumption by applying this model to the simulation section, it is confirmed to be 41% better than the model which does not reflect slope gradient. The results of this study are expected to be applied to the bicycle infrastructure planning that considers both longitude and transverse of bike lanes and the algorithm of bicycle route guidance system in the future.

Development of Multiclass Assignment For Dynamic Route Guidance Strategy (동적 경로안내전략수행을 위한 다계층 통행배정모형의 개발)

  • Lee, Jun;Lim, Kang-Won;Lee, Young-Ihn;Lim, Yong-Taek
    • Journal of Korean Society of Transportation
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    • v.22 no.7 s.78
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    • pp.91-98
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    • 2004
  • This study focuses on the development of dynamic assignment for evaluation and application for dynamic route guidance strategy. Travelers are classified according to information contents which they received pre/on trip. The first group have no traffic information, so they travel with fixed route. The second group have real-time shortest path and travel according to it. The last group have car navigation system or individual method(cellular phone, PDA-two way communication available) for traffic information on trip. And then they are assigned in accordance with the proposed multiclass dynamic assignment model. At this time the last group is gotten under control with DFS(decentralized feedback strategy). In use of this Process we expect that various traffic information strategy can be tested and also be the key factor for success of ITS, location of VMS(variable message sign), cycle of information, area of traffic information, etc).

Development of a neural-based model for forecating link travel times (신경망 이론에 의한 링크 통행시간 예측모형의 개발)

  • 박병규;노정현;정하욱
    • Journal of Korean Society of Transportation
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    • v.13 no.1
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    • pp.95-110
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    • 1995
  • n this research neural -based model was developed to forecast link travel times , And it is also compared wiht other time series forecasting models such as Box-Jenkins model, Kalman filter model. These models are validated to evaluate the accuracy of models with real time series data gathered by the license plate method. Neural network's convergency and generalization were investigated by modifying learning rate, momentum term and the number of hidden layer units. Through this experiment, the optimum configuration of the nerual network architecture was determined. Optimumlearining rate, momentum term and the number of hidden layer units hsow 0.3, 0.5, 13 respectively. It may be applied to DRGS(dynamic route guidance system) with a minor modification. The methods are suggested at the condlusion of this paper, And there is no doubt that this neural -based model can be applied to many other itme series forecating problem such as populationforecasting vehicel volume forecasting et .

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Optimal Route Guidance System for Emergency Vehicles (응급차량을 위한 최적경로안내시스템)

  • Lee, Tae-Soo;Kim, Seong-Sam;Yoo, Hwan-Hee
    • 한국지형공간정보학회:학술대회논문집
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    • 2002.11a
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    • pp.111-116
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    • 2002
  • 우리나라 응급의료체계의 구축은 선진국이 1960년대 초 시작한 반면 1980년 이후 구축되기 시작하여 아직까지 미흡한 편이다. 사고 및 재해 발생시 응급환자에 대한 적절한 처치는 관련정보가 빠르게 전달되고, 적절하게 사용되어 응급환자로 하여금 지체시간내에 얼마나 적합한 응급의료서비스를 수혜토록 하느냐가 가장 중요하다. 이를 위해 본 연구는 의료기관, 소방서 등 의료체계의 실태조사를 통하여 현재의 응급의료체계의 현황과 문제점을 분석하였다. GIS를 이용하여 119구급차 등 응급차량이 가는 경로와 일반 시민들이 이용할 수 있는 응급경로탐색에서 많은 영향을 미치는 교통요소, 좌회전, 우회전, 경유지, 시간대별 교통량을 고려하였다. 그리고 환자의 상태에 따른 병원을 찾도록 정보를 제공하였다. 이러한 교통요소 및 병원에 대한 정보를 제공함으로서 보다 나은 환자이송에 최적경로를 제시하고자 하였다.

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Application of GA algorithm and $A^*$ algorithm to optimal path finding problem (최적경로 탐색을 위한 유전자 알고리즘과 $A^*$알고리즘의 적용)

  • Cho, Won-Hyuk;Kong, Chang-Wook;Kim, In-Taek
    • Proceedings of the KIEE Conference
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    • 1996.07b
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    • pp.1389-1391
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    • 1996
  • In this paper, we applies two methods - Genetic Algorithm(GA) and $A^*$ Algorithm - to find the optimal path in route guidance system. Under the assumption that the traveling costs of each link are given, the task to find the optimal path becomes very complicated problem if the number of nodes or links increase. Two well-known algorithms are modified to resolve the problem and the preliminary demonstration show both optimistic result and needs to improvement.

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