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A Heuristic Optimal Path Search Considering Cumulative Transfer Functions
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 Title & Authors
A Heuristic Optimal Path Search Considering Cumulative Transfer Functions
Shin, Seongil; Baek, Nam Cheol; Nam, Doo Hee;
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 Abstract
In cumulative transfer functions, as number of transfer increase, the impact of individual transfer to transfer cost increase linearly or non linearly. This function can effectively explain various passengers`s travel behavior who choose their travel routes in integrated transit line networks including bus and railway modes. Using the function, it is possible to simulate general situations such that even though more travel times are expected, less number of transfer routes are preferred. However, because travel cost with cumulative transfer function is known as non additive cost function types in route search algorithms, finding an optimal route in integrated transit networks is confronted by the insolvable enumeration of all routes in many cases. This research proposes a methodology for finding an optimal path considering cumulative transfer function. For this purpose, the reversal phenomenon of optimal path generated in route search process is explained. Also a heuristic methodology for selecting an optimal route among multiple routes predefined by the K path algorithm. The incoming link based entire path deletion method is adopted for finding K ranking path thanks to the merit of security of route optimality condition. Through case studies the proposed methodology is discussed in terms of the applicability of real situations.
 Keywords
Cumulative Transfer Function;Non Additive Travel Cost;Heuristic Optimal Route Search;K Ranking Path;
 Language
Korean
 Cited by
1.
수도권 도시철도 환승통행량 추정방안 (교통카드자료를 이용하여),이미영;손지언;

한국ITS학회 논문지, 2016. vol.15. 6, pp.36-46 crossref(new window)
2.
Stepwise 환승계수를 고려한 Logit 유형 대중교통통행배정모형,신성일;백남철;

대한교통학회지, 2016. vol.34. 6, pp.570-579 crossref(new window)
1.
Estimating Transfer Trips in Seoul Metropolitan Urban Railway (Using Transportation Card), The Journal of The Korea Institute of Intelligent Transport Systems, 2016, 15, 6, 36  crossref(new windwow)
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