• ETRI Journal
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• v.44 no.2
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• pp.220-231
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• 2022

Building smart transportation services in urban cities has become a worldwide problem owing to the rapidly increasing global population and the development of Internet-of-Things applications. Traffic congestion and environmental concerns can be alleviated by sharing mobility, which reduces the number of vehicles on the road network. The taxi-parcel sharing problem has been considered as an efficient planning model for people and goods flows. In this paper, we enhance the functionality of a current people-parcel taxi sharing model. The adapted model analyzes the historical request data and predicts the current service demands. We then propose two novel online routing algorithms that construct optimal routes in real-time. The objectives are to maximize (as far as possible) both the parcel delivery requests and ride requests while minimizing the idle time and travel distance of the taxis. The proposed online routing algorithms are evaluated on instances adapted from real Cabspotting datasets. After implementing our routing algorithms, the total idle travel distance per day was 9.64% to 12.76% lower than that of the existing taxi-parcel sharing method. Our online routing algorithms can be incorporated into an efficient smart shared taxi system.

• Journal of Korean Society of Transportation
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• v.34 no.6
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• pp.570-579
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• 2016

This study proposes a concept of Stepwise Transfer Coefficient(STC) which implies greater transfer cost with increasing the number of transfers. Thus, the public transport information system provides the choice sets of travel routes by the consideration of not only transportation time but also the optimum number of transfers. However, path choice problems that involve STC are found to include non additive cost, which requires additional route enumeration works. Discussions on route enumeration in actual transportation networks is very complicated, thereby warranting a theoretical examination of route search considering STC. From these points of view, this study results in a probability based transit trip assignment model including STC. This research also uses incoming link based entire route deletion method. The entire route deletion method proposed herein simplifies construction of an aggregation of possible routes by theoretically supporting the process of enumeration of the different routes from origin to destination. Conclusively, the STC reflected route based logit model is proposed as a public transportation transit trip assignment model.

• East Asian Journal of Business Economics (EAJBE)
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• v.2 no.4
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• pp.56-64
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• 2014

Today, travelers are provided large amount information which includes Web sites and tourist magazines about introduction of tourist spot. Many approaches have been proposed to analyze the large amount of available information with the aim of discovering the most popular Points of Tourist Interest and routes. However, it is not easy for users to process the information in a short time. Therefore travelers prefer to receive pertinent information easier and have that information presented in a clear and concise manner. Whether you are looking for banks by company, foreign exchange services, free wireless hotspots, touristic attractions, campsites, supermarkets, restaurants, cinemas, The aim of POI Tourism Services is to enable tourists to find spots that only the locals know, giving the tourists opportunity to the tourists to explore new areas of the place like never before. This paper proposes find the scope for a personalized service for tourist "Special Interest Tourism" recommendation for tourists who travel within India & for the benefit of Foreign Nationals who visit the country. The major focus of the study is to understand the demand for such a service being integrated into the conventional tour package. The major findings made during the course of the show that the market for "Special Interest Tourism" based services stands at approximately 63%. Travel today is mainly for the people from the middle income group having a fixed budget while traveling and would like economic travel solutions that fit their budget. This accounts for a major part of the market for the service. Most tourist prefer to go on week end getaways or trips that last more than a week, this means that a specialized trip plan based on the travelers interests is feasible with these type of travelers. Maximum demand for "Special Interest Tourism" based services would be during the festive seasons.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.12 no.5
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• pp.87-97
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• 2013

This study tried to explore the quantitative travel heterogeneity between elderly and non elderly people, focusing on urban and rural areas in south Chungcheong province. For the analysis, a PLS(Partial least square) model is applied with economic and traffic environment characteristics of the urban and rural areas. The characteristics of elderly and non elderly people in the urban and rural areas are derived from the 2011 person trip survey. As a result, the study found out that the key factors affect on elderly people in the urban and rural areas are bus operation interval, number of bus operation routes, number of household member, and a monthly average income of household. In case of non elderly people, areas economic factors such as GRDP, the rate of economic activity, and employment status as well as those of elderly people. Meanwhile, female elderly people in rural area have more sensitivity compared to male elderly people and the gender heterogeneity is not revealed in non elderly people.

• East Asian Journal of Business Economics (EAJBE)
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• v.1 no.2
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• pp.29-41
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• 2013

Purpose: Today, travelers are provided large amount information which includes Web sites and tourist magazines about introduction of tourist spot. Many approaches have been proposed to analyze the large amount of available information with the aim of discovering the most popular Points of Tourist Interest and routes. However, it is not easy for users to process the information in a short time. Therefore travelers prefer to receive pertinent information easier and have that information presented in a clear and concise manner. Research Design, Data and Methodology: Whether you are looking for banks by company, foreign exchange services, free wireless hotspots, touristic attractions, campsites, supermarkets, restaurants, cinemas, The aim of POI Tourism Services is to enable tourists to find spots that only the locals know, giving the tourists opportunity to the tourists to explore new areas of the place like never before. This paper proposes find the scope for a personalized service for tourist "Special Interest Tourism" recommendation for tourists who travel within India & for the benefit of Foreign Nationals who visit the country. Results: The major focus of the study is to understand the demand for such a service being integrated into the conventional tour package. The major findings made during the course of the show that the market for "Special Interest Tourism" based services stands at approximately 63%. Travel today is mainly for the people from the middle income group having a fixed budget while traveling and would like economic travel solutions that fit their budget. Conclusion: This accounts for a major part of the market for the service. Most tourist prefer to go on week end getaways or trips that last more than a week, this means that a specialized trip plan based on the travelers interests is feasible with these type of travelers. Maximum demand for "Special Interest Tourism" based services would be during the festive seasons.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2022.06a
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• pp.275-276
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• 2022

VTS operators instruct ships to wait for entry and departure to sail in one-way to prevent ship collision accidents in ports with narrow routes. Currently, the instructions are not based on scientific and statistical data. As a result, there is a significant deviation depending on the individual capability of the VTS operators. Accordingly, this study built a 1d-convolutional neural network model by collecting ship and weather data to predict the exact travel time for ship entry/departure waiting for instructions in the port. It was confirmed that the proposed model was improved by more than 4.5% compared to other ensemble machine learning models. Through this study, it is possible to predict the time required to enter and depart a vessel in various situations, so it is expected that the VTS operators will help provide accurate information to the vessel and determine the waiting order.

• Journal of Korean Society of Transportation
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• v.26 no.5
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• pp.227-235
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• 2008

This study analyzed the efficiency of a trunk with branches and a trunk with feeders route system comparing the user cost and operator cost of those route systems. Basically, a trunk with branches is more efficient than a trunk with feeders in the passengers' perspective if the transit system of a trunk and feeders are the same. In the case that the trunk system is hierarchically higher than the feeder system, a trunk with feeders has the competitive edge over a trunk with branches if the saving of travel cost induced by using the trunk line is larger than the increasing waiting and transfer cost. This result is consistent with the previous research by Park et al.(2007c), which analyzed the efficiency of hierarchical structure in a grid transit network. If the travel demand of each origins and destinations is low, increasing headway according to the travel demand can increase passenger load or operating efficiency in a trunk with feeders route system. In this case, a trunk with feeders route system is more prevalent as the operating cost, route length, and number of destinations increases, while it is less prevalent as the transfer cost and passengers' time value of the waiting time increases. In cases that central business district, which is located in the middle of a trunk line, generates travel demand, a trunk with feeders is more efficient than a trunk with branches with the increasing travel demand from and to the CBD. Therefore it can be concluded that to have a dual operating system between CBD and suburban is more efficient than one type transit system. The efficiency of that system can be increased through an efficient transfer system that can reduce the transfer cost.

• Journal of Korean Society of Transportation
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• v.31 no.3
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• pp.86-95
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• 2013

In this study, a model of compensation and amendment of forecasted travel demand was developed to calculate the range of values depends on the changes in the risk factors, selecting factors that might affect traffic demand changes among risk factors. Selected factors are as follows: influenced area population, the number of registrated vehicle per person, ratio of service industry workers, and city intervals. Then this model is applied to six routes of expressway and the calculated value were compensated with error rate being reflected on each quartile value with respect to influenced area population (200,000 people standards). Result from appling developed model to Cheongwon-Sangju expressway suggests that the model could compensate the error rate by more than 50%, which in turn validate the effectiveness of the model developed. Some limitations and future research agenda have also been identified.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.28 no.5D
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• pp.617-625
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• 2008

In low-density areas where travel pattern is widely dispersed and travel demand is relatively low, transit operators find it very difficult to provide a reasonable level of service at a reasonable cost. Timed-transfer system or network, if designed properly, can provide a reasonable level of service for passengers using transit systems serving low-density areas. The paper intends to apply a timed-transfer system for bus lines serving Yangsan City area and to assess the effects resulted from the application. The concept of a timed-transfer network/system is briefly described, and the present conditions of bus systems in Yangsan City area are discussed, focusing on the aspects of network type and the related problems. The bus timed-transfer network for the area is then developed by adjusting the existing routes and network with the consideration of travel time, route alignments, headways and transfer centers. One must note that developing a timed-transfer network presumes that network and schedule should be developed together. The effects of the developed time-transfer system on the passengers and operators are found substantially so as to justify its introduction to the City. The results of this study will be of considerable use for planners to design the transit systems in low density areas, where in general travel activities are widely dispersed and travel demands are low, so that provision of good quality of transit services are difficult.

• Journal of Korean Institute of Industrial Engineers
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• v.14 no.1
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• pp.119-131
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• 1988

Vehicle Scheduling Problem (VSP) is a generic name given to a whole class of problems involving the visiting of "stations" by "vehicles," where a time is associated with each activity. The studies performed to date have the common feature of a single objective while satisfying a set of restrictions and known customer supplies or demands. However, VSPs may involve relevant multiple objectives and probabilistic supplies or demands at stations, creating multicriteria stochastic VSPs. This paper proposes a heuristic algorithm based on goal programming approach to schedule the most satisfactory vehicle routes of a bicriteria VSP with probabilistic supplies at stations. The two relevant objectives are the minimization of the expected travel distance of vehicles and the minimization of the due time violation for collection service at stations by vehicles. The algorithm developed consists of three major stages. In the first stage, an artificial capacity of vehicle is determined, on the basis of decision maker's subjective estimates. The second one clusters a set of stations into subsets by applying an efficient cluster method developed. In the third one, the stations in each subset are scheduled by applying an iterative goal programming heuristic procedure to each cluster.