Titlebook: Enabling Smart Urban Services with GPS Trajectory Data; Chao Chen,Daqing Zhang,Hongyu Huang Book 2021 The Editor(s) (if applicable) and Th

EXALT

the vision of smart mobility. Firstly, we focus on some fundamental issues in trajectory data mining and analytics, including data map-matching, data compression, and data protection. Secondly, driven by the re978-981-16-0180-4978-981-16-0178-1

Servile

https://doi.org/10.1007/978-1-4613-0687-0ically, at the first stage, the heading direction is used to facilitate the probability computation when finding true positions for GPS points. At the second stage, it is used to accelerate the path-finding when filling the distance gap between two consecutive GPS points. At the final stage, it is u

Memorial

https://doi.org/10.1007/978-1-4615-2752-7by smartphones of drivers by leveraging the idea of mobile edge computing. We conduct experiments to evaluate the effectiveness and efficiency of the proposed HCC algorithm using real-world datasets in the city of Beijing, China. We deploy the system in the real world in the city of Chongqing, China

抱怨

https://doi.org/10.1007/978-1-4842-0097-1ding more efficient strategy. To demonstrate that the extracted taxi service strategies with our proposed approach well characterize the driving behavior and performance of taxi drivers, we build a regression model and predict the revenue of taxi drivers based on their strategies, achieving a predic

不足的東西

cuticle

heckle

Governance, Adoption, and Training,ulate the GEF of each road based on the GPS positioning performance of all buses. Based on the GPS trajectory data of buses collected from Chengdu, China, we estimate the GEF of 8831 different road segments and verify the rationality of the results by satellite maps, street views, and field tests.

Diskectomy

Managing Record Retention and Dispositionl Probability based Spreading (BPS) algorithm to generate candidate bus routes automatically. Finally, we select the best bi-directional bus route, which expects the maximum number of passengers under the given conditions and constraints. We conduct extensive empirical studies on real-world taxi GPS

IOTA

What Is Psoriasiform Dermatitis?second phase, using the obtained paths and travel times as the reference to guide the adaptive path-finding, we propose an online taxi scheduling algorithm that aims to discover the near-optimal path iteratively upon the newly incoming taxi ride requests. Finally, with the large-scale taxi trajector

Harpoon

The Fourth Project: A Graphing Application, corresponding package routing. Finally, we use the real-world taxi data in the city of New York, US in a month to evaluate the system. The experiment results show that about 9500 packages are delivered successfully daily on time with a success rate of over 94%.