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On Recommending Urban Hotspots to Find Our Next Passenger

Luís Moreira-Matias, Ricardo Fernandes, João Gama, Michel Ferreira, João Mendes-Moreira, Luís Damas
2013 International Joint Conference on Artificial Intelligence  
The major contribution of this work is on how to combine well-known methods for learning from data streams (such as the historical GPS traces) as an approach to solve this particular problem.  ...  The experiments also highlighted that a fleet equipped with such framework surpassed a fleet that is not: they experienced an average waiting time to pick-up a passenger 5% lower than its competitor.  ...  Acknowledgments The authors would like to thank to Geolink and to its team for the data supplied to this work.  ... 
dblp:conf/ijcai/Moreira-MatiasFGFMD13 fatcat:xpbxqpd66nel7l4bsktc62roaa

Taxi Operation Optimization Based on Big Traffic Data

Qiuyuan Yang, Zhiqiang Gao, Xiangjie Kong, Azizur Rahim, Jinzhong Wang, Feng Xia
2015 2015 IEEE 12th Intl Conf on Ubiquitous Intelligence and Computing and 2015 IEEE 12th Intl Conf on Autonomic and Trusted Computing and 2015 IEEE 15th Intl Conf on Scalable Computing and Communications and Its Associated Workshops (UIC-ATC-ScalCom)  
One of the tough issues is the paradoxical situation in urban traffic control and management, which is the empty carrying phenomenon for taxi drivers and the difficulty of taking a taxi for passengers.  ...  Motivated by the remarkable improvement of information and communication technologies, along with the rapid progress of urbanization, smart city has become a novel brand.  ...  But we can know that it is not a smart choice for drivers waiting in this region according to the figure.  ... 
doi:10.1109/uic-atc-scalcom-cbdcom-iop.2015.42 dblp:conf/uic/YangGKRWX15 fatcat:eob3udmvfzhedaa73exwzrvd2m

From taxi GPS traces to social and community dynamics

Pablo Samuel Castro, Daqing Zhang, Chao Chen, Shijian Li, Gang Pan
2013 ACM Computing Surveys  
Taxis equipped with GPS localizers serve the transportation needs of a large number of people driven by diverse needs; their traces can tell us where passengers were picked up and dropped off, which route  ...  In this article, we provide an exhaustive survey of the work on mining these traces.  ...  a smart city.  ... 
doi:10.1145/2543581.2543584 fatcat:cr4fzlarlze65ciqfzovu5uqmy

Multiagent Reinforcement Learning-Based Taxi Predispatching Model to Balance Taxi Supply and Demand

Yongjian Yang, Xintao Wang, Yuanbo Xu, Qiuyang Huang
2020 Journal of Advanced Transportation  
Finally, we compare our method with another taxi dispatching method, and the results show that the proposed method has a significant improvement in vehicle utilization rate and passenger demand satisfaction  ...  imbalance between supply and demand in the city.  ...  Gathering and analyzing these large-scale real-world digital traces have provided us with an unprecedented opportunity to grasp the city dynamics and understand the social and economic patterns better  ... 
doi:10.1155/2020/8674512 fatcat:q5wo2ir4b5hoha66ei7wge3nym

A Force-directed Approach to Seeking Route Recommendation in Ride-on-demand Service Using Multi-source Urban Data

Suiming Guo, Chao Chen, Jingyuan Wang, Yan Ding, Yaxiao Liu, Xu Ke, Zhiwen Yu, Daqing Zhang
2020 IEEE Transactions on Mobile Computing  
Despite its success, dynamic pricing creates a new problem for drivers: how to seek for passengers to maximize revenue under dynamic prices.  ...  In this paper, we employ a force-directed approach to model, by analogy, the relationship between vacant cars and passengers as that between positive and negative charges in electrostatic field.  ...  ACKNOWLEDGMENTS The work was supported by the National Natural Science Foundation of China (62002135, 61872050, 61602067, 61572059, 61825204), the Fundamental Research Funds for the Central Universities  ... 
doi:10.1109/tmc.2020.3033274 fatcat:x4fdyjq3djdj5bybj63ttfjdfq

Online Cruising Mile Reduction in Large-Scale Taxicab Networks

Desheng Zhang, Tian He, Shan Lin, Sirajum Munir, John A. Stankovic
2015 IEEE Transactions on Parallel and Distributed Systems  
In the taxicab industry, a long-standing challenge is how to reduce taxicabs' miles spent without fares, i.e., cruising miles.  ...  We evaluate pCruise based on a real-world GPS dataset from a Chinese city Shenzhen with 14;000 taxicabs.  ...  A preliminary work has been presented in IEEE RTSS 2012 [30] .  ... 
doi:10.1109/tpds.2014.2364024 fatcat:vffjdshzvncq5duorbolv3agsm

Exploring Urban Taxi Drivers' Activity Distribution Based on GPS Data

Xiaowei Hu, Shi An, Jian Wang
2014 Mathematical Problems in Engineering  
With the rapid development of information communication technology and data mining technology, we can obtain taxi vehicle's real time operation status through the large-scale taxi GPS trajectories data  ...  In the time level, we identified the difference with taxi daily operation pattern (weekday versus weekends), continuous time in one day, passengers in vehicle time, and taxi drivers' operation frequency  ...  Conclusions This paper first took the taxi driver's pick-up and drop-off passengers' location as the objective, based on large-scale taxi GPS trace data analyzing the urban taxi driver's temporal and  ... 
doi:10.1155/2014/708482 fatcat:yesvuk5ozrgx3hkwucvxydhmdq

CallCab: A unified recommendation system for carpooling and regular taxicab services

Desheng Zhang, Tian He, Yunhuai Liu, John A. Stankovic
2013 2013 IEEE International Conference on Big Data  
In response to a passenger's request, CallCab aims to recommend either (i) a vacant taxicab for a regular service with no detour, or (ii) an occupied taxicab heading to the similar direction for a carpooling  ...  waiting time.  ...  ] ; (ii) GPS records can be used for navigating newer drivers to smart routes based on those of experienced taxicab drivers [11] ; (iii) large scale taxicab GPS traces enable us to better understand traffic  ... 
doi:10.1109/bigdata.2013.6691605 dblp:conf/bigdataconf/ZhangHLS13 fatcat:kyzje2ieorddbazjq3bbixpiaq

Modeling Taxi Drivers' Behaviour for the Next Destination Prediction [article]

Alberto Rossi, Gianni Barlacchi, Monica Bianchini, Bruno Lepri
2019 arXiv   pre-print
In this paper, we study how to model taxi drivers' behaviour and geographical information for an interesting and challenging task: the next destination prediction in a taxi journey.  ...  This task is normally modeled as a multiclass classification problem, where the goal is to select, among a set of already known locations, the next taxi destination.  ...  Taxi trajectory datasets are available nowadays for many large cities [40, 13] and they provide a valuable resource for modeling and understanding urban transportation patterns and human mobility behaviours  ... 
arXiv:1807.08173v2 fatcat:4rpwx777kzhtjcbz3gn3zrqlfq

Urban Computing

Yu Zheng, Licia Capra, Ouri Wolfson, Hai Yang
2014 ACM Transactions on Intelligent Systems and Technology  
This calls for an integration of instant data-mining techniques into a visualization framework, which is still missing in urban computing. 3.  ...  Urban computing connects urban sensing, data management, data analytics, and service providing into a recurrent process for an unobtrusive and continuous improvement of people's lives, city operation systems  ...  In major cities like New York City and Beijing, people usually wait for a nontrivial time before taking a vacant taxi, while taxi drivers are eager to find passengers.  ... 
doi:10.1145/2629592 fatcat:no5gcshbmrdfphv6ewm6wdoewq

Dmodel: Online Taxicab Demand Model from Big Sensor Data in a Roving Sensor Network

Desheng Zhang, Tian He, Shan Lin, Sirajum Munir, John A. Stankovic
2014 2014 IEEE International Congress on Big Data  
To address this issue, we propose Dmodel, using roving taxicabs as real-time mobile sensors to (i) infer passenger arriving moments by interactions of vacant taxicabs, and (ii) infer passenger demand by  ...  Investigating passenger demand is essential for the taxicab business. Existing solutions are typically based on dated and inaccurate offline data collected by manual investigations.  ...  [5] ; (ii) GPS records can be used for navigating newer drivers to smart routes based on those of experienced taxicab drivers [12] ; (iii) large scale taxicab GPS traces enable us to better understand  ... 
doi:10.1109/bigdata.congress.2014.30 dblp:conf/bigdata/ZhangHLMS14 fatcat:nzuintc75vgkfdhcbuby6e7xai

Scanning the Issue

Azim Eskandarian
2020 IEEE transactions on intelligent transportation systems (Print)  
An efficient algorithm for detection of vacant parking spaces in delimited and non-delimited lots is presented.  ...  When tested on public data sets with images of real parking spaces, the proposed method shows robustness against large intra-class variabilities of vehicles and wide variations in vehicle pose and scale  ...  The results are shown for the New York City taxi system during 2011-2013.  ... 
doi:10.1109/tits.2020.3021574 fatcat:cpxn24tjyvbcxf3fodglepuwsi

pCruise: Reducing Cruising Miles for Taxicab Networks

Desheng Zhang, Tian He
2012 2012 IEEE 33rd Real-Time Systems Symposium  
In taxicab industry, a long standing challenge is how to reduce taxicab's mileage spent without a fare, i.e., cruising mile.  ...  When a taxicab becomes vacant and tries to find a passenger, cruising graph will provide the shortest cruising route with at least one expected available passengers for this taxicab.  ...  The dataset consists of 7 days of GPS traces from more than 15, 000 taxicabs. Based on this dataset, we conduct both a large scale trace-driven simulations and a small scale testbed experiment.  ... 
doi:10.1109/rtss.2012.61 dblp:conf/rtss/ZhangH12 fatcat:4odjrgu5wzbhpcdc7dbothjmzu


Suhas Mathur, Tong Jin, Nikhil Kasturirangan, Janani Chandrasekaran, Wenzhi Xue, Marco Gruteser, Wade Trappe
2010 Proceedings of the 8th international conference on Mobile systems, applications, and services - MobiSys '10  
Each ParkNet vehicle is equipped with a GPS receiver and a passenger-side-facing ultrasonic rangefinder to determine parking spot occupancy.  ...  Finally, we quantify the amount of sensors needed to provide adequate coverage in a city.  ...  ACKNOWLEDGEMENTS We would like to thank Ivan Seskar for his constant guidance and support of our efforts, and Ilya Chigirev for his help in building our magnet-mounted sensor prototypes.  ... 
doi:10.1145/1814433.1814448 dblp:conf/mobisys/MathurJKCXGT10 fatcat:dihfiharwfhndae6xxwdjjh4mq

Big Data Driven Vehicular Networks [article]

Nan Cheng, Feng Lyu, Jiayin Chen, Wenchao Xu, Haibo Zhou, Shan Zhang, Xuemin Shen
2018 arXiv   pre-print
Furthermore, we present a case study where machine learning schemes are applied to analyze the VANETs measurement data for efficiently detecting negative communication conditions.  ...  Then, the methods employing big data for studying VANETs characteristics and improving VANETs performance are discussed.  ...  There are several databases that stores real and large-scale taxi mobility trace data from different cities, including San Francisco, Shanghai, and Shenzhen [13] .  ... 
arXiv:1804.04203v1 fatcat:woubg2munva7xp4usg22mrvku4
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