• Title/Summary/Keyword: Vehicular Trip

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COMPARISON OF VARIABLE SELECTION AND STRUCTURAL SPECIFICATION BETWEEN REGRESSION AND NEURAL NETWORK MODELS FOR HOUSEHOLD VEHICULAR TRIP FORECASTING

  • Yi, Jun-Sub
    • Journal of applied mathematics & informatics
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    • v.6 no.2
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    • pp.599-609
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    • 1999
  • Neural networks are explored as an alternative to a regres-sion model for prediction of the number of daily household vehicular trips. This study focuses on contrasting a neural network model with a regression model in term of variable selection as well as the appli-cation of these models for prediction of extreme observations, The differences in the models regarding data transformation variable selec-tion and multicollinearity are considered. The results indicate that the neural network model is a viable alternative to the regression model for addressing both messy data problems and limitation in variable structure specification.

Design and Evaluation of Telematics User Interface for Ubiquitous Vehicle

  • Hong, Won-Kee;Kim, Tae-Hwan;Ko, Jaepil
    • Journal of Korea Society of Industrial Information Systems
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    • v.19 no.3
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    • pp.9-15
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    • 2014
  • In the ubiquitous computing environment, a ubiquitous vehicle will be a communication node in the vehicular network as well as the means of ground transportation. It will make humans and vehicles seamlessly and remotely connected. Especially, one of the prominent services in the ubiquitous vehicle is the vehicle remote operation. However, mutual-collaboration with the in-vehicle communication network, the vehicle-to-vehicle communication network and the vehicle-to-roadside communication network is required to provide vehicle remote operation services. In this paper, an Internet-based human-vehicle interfaces and a network architecture is presented to provide remote vehicle control and diagnosis services. The performance of the proposed system is evaluated through a design and implementation in terms of the round trip time taken to get a vehicle remote operation service.

Improvement of Power Capability and Field Uniformity with Tapered Coaxial Matching Units in Strip Line for Measuring Electromagnetic Immunity of Vehicular Components

  • Chung, Yeon-Choon;Kang, Tae-Won;Park, Dong-Chul
    • Journal of Electrical Engineering and information Science
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    • v.2 no.5
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    • pp.60-64
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    • 1997
  • The design process and construction method of a strip line is described for measuring radiated susceptibility of vehicular components having electrical cables more than 2 min length. he characteristic impedance of the trip line was determined 90$\Omega$ to obtain the field uniformity of $\leq$${\pm}$3 dB in the frequency range from 100 kHz to 500 MHz. Tapered coaxial lines were used instead of the traditional lumped circuit element for the impedence matching units, therefore, the strip line has high power capability. Using these techniques, the field uniformity and power capability of a strip line could be considerably improved.

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Failure Management Plan of the Rubber-Tired AGT Light Rail Vehicle (고무차륜 AGT 경량전철 차량의 고장관리 계획)

  • Kim Y.S.;Park S.H.;Lee A.H.;Han S.Y.
    • Proceedings of the KSR Conference
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    • 2003.05a
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    • pp.139-144
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    • 2003
  • This study was aimed to establish failure management plan of the rubber-tired AGT light rail vehicle for its safety case, which was developed according to the Korean standardized specifications for the light rail vehicle. Vehicular 9 failure modes anticipated during the system operation were considered, which are single malfunction of redundant equipment, malfunction of train radio, public address and air compressor, battery, main circuit NFB trip, on-board ATO control device malfunction, on-board ATP control device malfunction, fail of brake release, flat tire, train emergency door open.

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Analysis of Factors Influencing Street Vitality in High-Density Residential Areas Based on Multi-source Data: A Case Study of Shanghai

  • Yuan, Meilun;Chen, Yong
    • International Journal of High-Rise Buildings
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    • v.10 no.1
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    • pp.1-8
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    • 2021
  • Currently, big data and open data, together with traditional measured data, have come to constitute a new data environment, expanding new technical paths for quantitative analysis of the street environment. Streets provide precious linear public space in high-density residential areas. Pedestrian activities are the main body of street vitality. In this paper, 441 street segments were selected from 21 residential districts in high-density downtown area of Shanghai as cases, to quantitatively evaluate the influencing factors of pedestrian activities. Bivariate analysis was performed, and the results showed that street vitality was not only correlated with a highly populated environment, but also with other factors. In particular, the density of entrances and exits of residential properties, the proportion of walkable areas, and the density of retail and service facilities, were correlated with the vitality of street segments. The magnitudes of correlation between the street environmental factors and the pedestrian traffic differed across various trip purposes. Segment connectivity factors were more correlated with walking for leisure than for transportation. While public transportation factors were mainly correlated with walking for transportation, vehicular traffic factors were negatively correlated with walking for leisure.

Development of Traffic Accident Index Considering Driving Behavior of a Data Based (데이터 기반의 도로구간별 운전자의 통행행태를 고려한 교통사고지표 개발)

  • LEE, Soongbong;CHANG, Hyunho;CHEON, Seunghoon;BAEK, Seungkirl;LEE, Young-Ihn
    • Journal of Korean Society of Transportation
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    • v.34 no.4
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    • pp.341-353
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    • 2016
  • Highway is mainly in charge of middle-long distance of vehicular travel. Trip length has shown a growing trend due to increased commute distances by the relocation of public agencies. For this reason, the proportion of driver-driven accidents, caused by their fatigue or sleepiness, are very high on highways. However, existing studies related to accident prediction have mainly considered external factors, such as road conditions, environmental factors and vehicle factors, without driving behavior. In this study, we suggested an accident index (FDR, Fatigued Driving Rate) based on traffic behavior using large-scale Car Navigation path data, and exlpored the relationship between FDR and traffic accidents. As a result, FDR and traffic accidents showed a high correlation. This confirmed the need for a paradigm shift (from facilities to travel behavior) in traffic accident prediction studies. FDR proposed in this study will be utilized in a variety of fields. For example, in providing information to prevent traffic accidents (sleepiness, reckless driving, etc) in advance, utilization of core technologies in highway safety diagnostics, selection of priority location of rest areas and shelter, and selection of attraction methods (rumble strips, grooving) for attention for fatigued sections.