Research on forecast and recommendation technology of taxi passengers based on time-varying Markov decision process

To solve the problems of unloading rate caused by blind passenger search of taxis, the hotspot recommendation strategy of taxi passengers was proposed.The proposed strategy could optimize the process of matching passengers to the greatest extent to increase the efficiency of passenger search.Based o...

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Main Authors: Tong WANG, Shan GAO, Huiwen GONG, Bo SUN
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2021-02-01
Series:Tongxin xuebao
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Online Access:http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2021002/
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author Tong WANG
Shan GAO
Huiwen GONG
Bo SUN
author_facet Tong WANG
Shan GAO
Huiwen GONG
Bo SUN
author_sort Tong WANG
collection DOAJ
description To solve the problems of unloading rate caused by blind passenger search of taxis, the hotspot recommendation strategy of taxi passengers was proposed.The proposed strategy could optimize the process of matching passengers to the greatest extent to increase the efficiency of passenger search.Based on the historical trajectory data of taxis and the time series characteristics of hotspot passenger information, a segment prediction method was proposed based on recurrent neural network (SPBR) and a passenger recommendation model was proposed based on time-varying Markov decision process (TMDP).Experimental results show that the RMSE predicted by SPBR algorithm is 67.6%, 71.1% and 64.5% lower than the SVR, CART and BPNN algorithms.The expected return of taxis based on the TMDP algorithm is 35.9% higher than historical expectations.
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institution Kabale University
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series Tongxin xuebao
spelling doaj-art-69d06d2e39ee4a35b24c65f9c42cd06b2025-01-14T07:21:37ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2021-02-0142375159740081Research on forecast and recommendation technology of taxi passengers based on time-varying Markov decision processTong WANGShan GAOHuiwen GONGBo SUNTo solve the problems of unloading rate caused by blind passenger search of taxis, the hotspot recommendation strategy of taxi passengers was proposed.The proposed strategy could optimize the process of matching passengers to the greatest extent to increase the efficiency of passenger search.Based on the historical trajectory data of taxis and the time series characteristics of hotspot passenger information, a segment prediction method was proposed based on recurrent neural network (SPBR) and a passenger recommendation model was proposed based on time-varying Markov decision process (TMDP).Experimental results show that the RMSE predicted by SPBR algorithm is 67.6%, 71.1% and 64.5% lower than the SVR, CART and BPNN algorithms.The expected return of taxis based on the TMDP algorithm is 35.9% higher than historical expectations.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2021002/taxi empty loading ratetime-varying Markov decision processhotspot predictionsegment prediction me-thodpassenger recommendation model
spellingShingle Tong WANG
Shan GAO
Huiwen GONG
Bo SUN
Research on forecast and recommendation technology of taxi passengers based on time-varying Markov decision process
Tongxin xuebao
taxi empty loading rate
time-varying Markov decision process
hotspot prediction
segment prediction me-thod
passenger recommendation model
title Research on forecast and recommendation technology of taxi passengers based on time-varying Markov decision process
title_full Research on forecast and recommendation technology of taxi passengers based on time-varying Markov decision process
title_fullStr Research on forecast and recommendation technology of taxi passengers based on time-varying Markov decision process
title_full_unstemmed Research on forecast and recommendation technology of taxi passengers based on time-varying Markov decision process
title_short Research on forecast and recommendation technology of taxi passengers based on time-varying Markov decision process
title_sort research on forecast and recommendation technology of taxi passengers based on time varying markov decision process
topic taxi empty loading rate
time-varying Markov decision process
hotspot prediction
segment prediction me-thod
passenger recommendation model
url http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2021002/
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AT bosun researchonforecastandrecommendationtechnologyoftaxipassengersbasedontimevaryingmarkovdecisionprocess