基于粒度计算的旅游定制公交初设线路优选——以长岛县定制旅游公交为例
Research of Customized Tourism Bus Optimal Route Selection Based on Granular Computing—Take Changdao Customized Tourism Bus as Example

DOI: 10.12677/OJTT.2019.85041, PP. 337-343

Keywords: 粒度计算，数据挖掘，定制公交，线路选择
Granular Computing, Data Mining, Customized Shuttle Bus, Route Selection

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Abstract:

本文利用粒度计算在处理多源、海量、异构交通时空数据方面的优势，将其引入定制公交初设线路选择。以交通特性、出行者个体特性、出行特性等数据为分析处理对象，以识别城市公众中可能采用定制公交通勤出行、通勤线路分布为目标输出的群体数量，构造同质出行特性判别信息颗粒；采集经脱敏处理后的公交刷卡数据、公交APP数据、卡口过车及驾驶员数据，通过粒度计算，挖掘提取目标群体的出行时间、地点、方向、目的等特性，并进行归类，从而为定制公交线路走向、里程、途中停靠站确定提供依据。
In this paper, a new method of customized shuttle bus route selection is proposed based on gra-nular computing, which is good at processing the massive, fuzzy, uncertain and incomplete traffic spatio-temporal data. Data such as traffic characteristics, individual characteristics of travelers, and travel characteristics are used as analytical processing objects to identify the number of groups in the urban public who may use customized public transportation and the distribution of commuter routes as target outputs, and to construct homogenous travel characteristics discriminating information particles. Using the desensitization of bus card data, bus application data, bayonet car and driver data, objective group can be mined and classified by granular computing, which have the similar travel time, location, direction, and destination. Based on the results, it provides basis for the direction, length, and stops of customized tourism bus.

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