• Title/Summary/Keyword: Driving restrictions

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Multi-Vehicle Environment Simulation Tool to Develop and Evaluate Automated Driving Systems in Motorway (고속도로에서의 자율주행 알고리즘 개발 및 평가를 위한 다차량 시뮬레이션 환경 개발)

  • Lee, Hojoon;Jeong, Yonghwan;Min, Kyongchan;Lee, Myungsu;Shin, Jae Kon;Yi, Kyongsu
    • Journal of Auto-vehicle Safety Association
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    • v.8 no.4
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    • pp.31-37
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    • 2016
  • Since real road experiments have many restrictions, a multi-vehicle traffic simulator can be an effective tool to develop and evaluate fully automated driving systems. This paper presents multi-vehicle environment simulation tool to develop and evaluate motorway automated driving systems. The proposed simulation tool consists of following two main parts: surrounding vehicle model and environment sensor model. The surrounding vehicle model is designed to quickly generate rational complex traffic situations of motorway. The environment sensor model depicts uncertainty of environment sensor. As a result, various traffic situations with uncertainty of environment sensor can be proposed by the multi-vehicle environment simulation tool. An application to automated driving system has been conducted. A lane changing algorithm is evaluated by performance indexes from the multi-vehicle environment simulation tool.

The Effects of Restrictions in Economic Activity on the Spread of COVID-19 in the Philippines: Insights from Apple and Google Mobility Indicators

  • CAMBA, Abraham C. Jr.;CAMBA, Aileen L.
    • The Journal of Asian Finance, Economics and Business
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    • v.7 no.12
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    • pp.115-121
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    • 2020
  • This study aims to investigate the effects of restrictions in economic activity on the spread of COVID-19 in the Philippines. This research employs daily time-series data of confirmed new COVID-19 cases, Apple mobility trends (i.e., use of public transport to destinations, volume of people driving, and amount of walking to destinations) and Google community mobility (i.e., visits to transit stations, visits to workplaces, and staying-at-home) indicators covering the period February 17 to September 11, 2020. The analysis starts by establishing the correlation pattern of new confirmed COVID-19 daily infections to each independent variable. The results show negative linear correlation of the number of new COVID-19 daily infections with less visit to transit station, increase stay-at-home, less use of public transport, and less amount of walking to destinations. Interestingly, the number of new COVID-19 daily infections indicates some form of positive linear correlation with visits to workplaces and volume of people driving. Moreover, employing robust least square regression via the method of MM-estimation, major findings reveal that across mobility measures, staying-at-home has the highest impact on reducing the spread of COVID-19, followed by visiting transit stations less, less use of public transport, less amount of walking, and less workplace visits.

Development of Road Safety Estimation Method using Driving Simulator and Eye Camera (차량시뮬레이터 및 아이카메라를 이용한 도로안전성 평가기법 개발)

  • Doh, Tcheol-Woong;Kim, Won-Keun
    • International Journal of Highway Engineering
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    • v.7 no.4 s.26
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    • pp.185-202
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    • 2005
  • In this research, to get over restrictions of a field expreiment, we modeled a planning road through the 3D Virtual Reality and achieved data about dynamic response related to sector fluctuation and about driver's visual behavior on testers' driving the Driving Simulator Car with Eye Camera. We made constant efforts to reduce the non-reality and side effect of Driving Simulator on maximizing the accord between motion reproduction and virtual reality based on data Driving Simulator's graphic module achieved by dynamic analysis module. Moreover, we achieved data of driver's natural visual behavior using Eye Camera(FaceLAB) that is able to make an expriment without such attaching equipments such as a helmet and lense. In this paper, to evaluate the level of road's safety, we grasp the meaning of the fluctuation of safety that drivers feel according to change of road geometric structure with methods of Driving Simulator and Eye Camera and investigate the relationship between road geometric structure and safety level. Through this process, we suggest the method to evaluate the road making drivers comfortable and pleasant from planning schemes.

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Public's Travel Intention Following COVID-19 Pandemic Constrained: A Case Study in Vietnam

  • NGUYEN, Ngoc Mai;PHAM, Minh Quyen;PHAM, Minh
    • The Journal of Asian Finance, Economics and Business
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    • v.8 no.8
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    • pp.181-189
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    • 2021
  • The COVID-19 pandemic has impacted the tourism industry due to the resulting travel restrictions as well as a slump in demand among travelers. The tourism industry has been massively affected by the spread of coronavirus, as many countries have introduced travel restrictions in an attempt to contain its spread. In Vietnam, the government has largely been credited for the country's success in keeping COVID-19 transmission rates under control. Early awareness of the pandemic, appropriate, drastic, and people-centric measures, as well as public support, are the main factors behind the success of Vietnam. In that context, it is observed that people's travel demand has bounced back and this research will examine factors driving the public's travel intention in the post-crisis (pandemic) period. The survey was conducted on the Internet using questionnaires designed in the Google platform. Data was collected from April 16 to May 31, 2020, from 154 Vietnamese participants. Research findings demonstrate 4 direct and indirect determinants of travel intention. The strongest effects come from perceived behavioral control which is influenced by subjective well-being. Perceived risk negatively correlates with Self-efficacy and subjective well-being. Conducted in the context of post-COVID-19, the research implies that once the pandemic has been controlled, perceived risks, although still exist, insignificantly influence the public's travel intention.

Actual Situation Analysis of Walking Environment in Chongqing, China - Case Studies of First Experimental Elementary School and Zaozilanya Elementary School -

  • Hong, Shi;Suh, JooHwan
    • Journal of recreation and landscape
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    • v.12 no.4
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    • pp.1-10
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    • 2018
  • This study is about the investigation of the walking environment of the First Experimental Elementary School in Shapingba District of Chongqing City and the Zaozilanya Elementary School in Yuzhong District and the analysis of the pedestrian's consciousness. The improvement plan is obtained by comparing and analyzing the walking environment around the school. The survey results are as follows. According to the survey results of the walking environment around the school, the sidewalks of the two schools are relatively narrow, and there are more pedestrians crossing the road. There is a phenomenon of parking in both schools. The phenomenon of parking in Zaozilanya Elementary School is even more serious. In investigating the most important elements of the school's pedestrian environment, the setting of the signpost, the setting of the crosswalk and signal lights, the setting of the fence, the setting of the vehicle's deceleration facilities, and the control of the school gate are all necessary. Therefore, in order to create a safe and comfortable improvement plan for the surrounding environment of the school, first of all, in the improvement of the facilities around the school, the setting of the fence, the setting of the speed bump, the improvement of the crosswalk and the signal light. Second, in terms of restrictions, the scope of protection around the school needs to be expanded, and restrictions on parking and restrictions on vehicle traffic need to be implemented. Third, in terms of education and publicity, it is not only necessary to provide safety guidance for students to go to school, but also to provide drivers with driving safety education and publicity.

A Study for the Fuel Economy Improvement of a Heavy Duty Engine in Commercial Vehicles(II) (상용차 탑재 대형엔진의 차량연비 개선 연구(II))

  • Lyu, Myung-Seok;Doo, Byung-Mann;Ku, Young-Gon
    • Transactions of the Korean Society of Automotive Engineers
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    • v.16 no.6
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    • pp.104-108
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    • 2008
  • Recently, studies conducted by our research group, revealed the possibility for reducing BSFC, NOx and PM emissions to meet the Euro 4 & 5 legislations. The main objective of the present study is to get better fuel economy in commercial vehicles by considering real driving conditions. Firstly, in order to improve fuel economy on fields, specifically it is required to analyze the driving pattern and make the representative modes from real field data. Secondly, it is performed to make the engine dynometer test to optimize the fuel consumption by reflecting on the representative driving modes, based on the Korea 2008 emission legislation equal to the Euro 4. The engine components such as engine calibration, combustion chamber, turbocharger and ancilliaries were modified to optimize vehicle fuel economy over a typical customer drive cycle whilst still meeting the exhaust emission restrictions. Finally, these results were confirmed by field testing of vehicle equipped with the updated calibration engine. It was placed the two vehicles together traveling the same route and accomplishing the same amount of stops(back to back), in order to evaluate the fuel consumption in comparison to the current vehicle. Through several repeats such as the engine calibration and field test, we could get 3 % to 7.7 % vehicle fuel economy improvements compared to previous vehicle.

A Vehicle Fleet Planning System with Multi-objective Optimization (다목적 최적화를 고려한 배차계획 시스템)

  • 양병희;이영애
    • Journal of the Korean Operations Research and Management Science Society
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    • v.19 no.3
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    • pp.63-79
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    • 1994
  • Many vehicle fleet planning systems have been suggested to minimize the routing distances of vehicles or reduce the transportation cost. But the more considerations the method takes, the higher complexites are involved in a large number of practical situations. The purpose of this paper is to vehicle fleet planning system. This paper is considered multi-objective optimization. The vehicle fleet planning system developed by this study involves such complicated and restricted conditions as one depot, multiple nodes (demand points), multiple vehicle types, multipel order items, and other many restrictions for operating vehicles. The proposed algorithm is compared with the nearest neighbor heuristic (NNH) and the savings heuristic (SAH) algorithm in terms of total logistics cost and driving time. This method constructs a route with a minimum number of vehicles for a given demand. This method can be used to any companys which vehicle fleet planning system under circumstances considered in this paper.

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Design of the Simulation-Based Vehicle Distribution Planning System for Logistics (시뮬레이션을 이용한 물류 배송계획 시스템 개발에 관한 연구)

  • Yang, Byung-Hee;Lee, Young-Hae
    • IE interfaces
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    • v.7 no.2
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    • pp.87-97
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    • 1994
  • Many vehicle routing methods have been suggested, which minimize the routing distances of vehicles to reduce the total transportation cost. But the more considerations the method takes, the higher complexites are involved in a large number of practical situations. The purpose of this paper is to develop a vehicle distribution planning system using heuristic algorithms and simulation techniques for home electronics companies. The vehicle distribution planning system developed by this study involves such complicated and stochastic conditions as one depot, multiple nodes(demand points), multiple vehicle types, multiple order items, and other many restrictions for operating vehicles. The proposed system is compared with the nearest neighbor method of the current system in terms of total logistics cost and driving time. This heuristics algorithm and simulation based distribution planning system is efficient in computational complexity, and give improved solutions with respect to the cost as well as the time. This method constructs a route with a minimum number of vehicles for a given demand.

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A Simulation Based Vehicle Distribution Planning System

  • 양병희;이영해
    • Journal of the military operations research society of Korea
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    • v.22 no.2
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    • pp.182-199
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    • 1996
  • Many vehicle routing methods have been suggested, which minimize the routing distances of vehicles to reduce the total transportation cost. But the more considerations the method takes, the higher complexites are involved in a large number of practical situations. The purpose of this paper is to develop a vehicle distribution planning system using heuristic algorithms and simulation techniques for home electronics companies. The vehicle distribution planning system developed by this study involve so complicated and stochastic conditions such as one depot, multiple nodes(demand points), multiple vehicle types, multiple order items, and other many restrictions for operating vehicles. The proposed system is compared with the nearest neighbor method and the savings method in terms of total logistics cost and driving time. This heuristic algorithm and simulation based distribution planning system is efficient in computational complexity, and give improved solutions with respect to the cost as well as the time. This method constructs a route with a minimum number of vehicles for a given demand.

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A Study on the Factors Affecting the Flexibility of cargo airlines to switch the airport (화물항공사의 공항 전환 유연성에 영향을 주는 요인에 관한 연구)

  • Bakhitiyorjon, Abdurakmanov;Lee, Hee-Yong
    • International Commerce and Information Review
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    • v.19 no.2
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    • pp.237-258
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    • 2017
  • This research thoroughly analyzes prior literature related to the flexibility of cargo airlines to switch the airport and discusses the driving factors of such footloose nature. The main purpose of the study is to identify the most deterrent factors leading to airport relocation decision which determines cargo industries role on the global trade. Qualitative research based on systematic process analysis was conducted as a main research method. As a result, 24 factors related to airport-airline relationship were chosen and categorized into four main groups; (1) Location issues, (2) Restrictions, (3) Poor quality, and (4) High costs. The findings derived from the analysis of selected studies suggest that restriction related issues (e.g. night-time flight restrictions, customs administration) followed by location issues (e.g. absence of origin destination demand) have created more constraint to airport-airline relationship.

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