Showing 1-25 of 2,036 resultsfor "Index Terms":taxi
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Understanding Taxi Service Strategies From Taxi GPS Traces
Daqing Zhang;Lin Sun;Bin Li;Chao Chen;Gang Pan;Shijian Li;Zhaohui Wu
Taxi service strategies, as the crowd intelligence of massive taxi drivers, are hidden in their historical time-stamped GPS traces. Mining GPS traces to understand the service strategies of skilled taxi drivers can benefit the drivers themselves, passengers, and city planners in a number of ways. This paper intends to uncover the efficient and inefficient taxi service strategies based on a large-s...Show More
Estimating Taxi Demand-Supply Level Using Taxi Trajectory Data Stream
2015 IEEE International Conference on Data Mining Workshop (ICDMW)
Year: 2015 | Conference Paper |
Cited by: Papers (16)
Taxis provide a flexible and indispensable service to satisfy the urban travel demand of public commuters. Understanding taxi supply and commuter demand, especially the imbalance between the supply and the demand, would directly help to improve the quality of taxi service and eventually increase a city's traffic system efficiency. In this paper, we consider the taxi demand from a region during a p...Show More
IoT-Based Intelligent Transportation System for Passenger-Shuttle Taxi Matchmaking
2024 Third International Conference on Distributed Computing and High Performance Computing (DCHPC)
Year: 2024 | Conference Paper |
As cities continue to grow in population, the demand for public transportation, particularly shuttle taxis, has increased. Shuttle taxis typically follow specific routes within or between cities. However, this transportation mode is not currently optimized, as taxi drivers often have to stop frequently to find passengers and inquire about their destination to see if it aligns with their route. Wit...Show More
An Automated Taxi Booking and Scheduling System
2013 8th EUROSIM Congress on Modelling and Simulation
Year: 2013 | Conference Paper |
Cited by: Papers (3)
In Amman, the capital city of Jordan, the transportation system is very poor and lacks organization. The only available transportation is busses and taxis. Busses do not follow time schedules and do not have designated bus stops, while taxis are available in large numbers and are more flexible than busses. This results in a high demand on taxis by customers, but unfortunately, there are no taxi pa...Show More
Vacant taxi strategies and system performance of cruising taxi operation system
2011 International Conference on Electric Technology and Civil Engineering (ICETCE)
Year: 2011 | Conference Paper |
Cited by: Papers (3)
A simulation model of cruising taxi operation system is presented. Vacant taxis cruise in the city to search for passengers, and their search strategies are based on drivers' experience and information. The impacts of dynamic traffic flow and signals are taken into consideration through a cell transmission model. These are helpful for regulating urban taxi operation system more efficiently and pro...Show More
Automated Taxi Booking Operations for Autonomous Vehicles
Linh Van Ma;Shoaib Azam;Farzeen Munir;Moongu Jeon;Jinho Choi
2019 13th International Conference on Signal Processing and Communication Systems (ICSPCS)
Year: 2019 | Conference Paper |
In a conventional taxi booking system, all taxi operations are mostly done by a decision made by drivers which is hard to implement in unmanned vehicles. To address this challenge, we introduce a taxi booking system which assists autonomous vehicles to pick up customers. The system can allocate an autonomous vehicle (AV) as well as plan service trips for a customer request. We use our own AV to se...Show More
A Distributed System for Finding High Profit Areas over Big Taxi Trip Data with MognoDB and Spark
2017 IEEE International Congress on Big Data (BigData Congress)
Year: 2017 | Conference Paper |
Cited by: Papers (3)
Due to the rapid development of internet of things (IoT) technology, traditional taxi cabs are connected through dispatchers and location systems. In major urban cities, modern taxis have equipped with GPS (Global positioning system) sensors which generate huge volumes of taxi trips. One of crucial solutions from analyzing taxi trip big data is to find high profit areas for taxi drivers. In this p...Show More
Interface for Querying and Data Mining for NYC Yellow and Green Taxi Trip Data
2019 IEEE Long Island Systems, Applications and Technology Conference (LISAT)
Year: 2019 | Conference Paper |
Cited by: Papers (1)
Big data analysis is often seen as a complex process for processing large sets of data to uncover hidden information and patterns. This information can then be used by different groups of people to make decisions, to run their businesses and processes more efficiently. Just as important as the analysis technique used, so is the way we present that information. The purpose of our research is to inv...Show More
Research on the competition game between net about car and traditional taxi under internet pus background
2017 6th International Conference on Computer Science and Network Technology (ICCSNT)
Year: 2017 | Conference Paper |
The car-hailing service is an attempt of combining Internet service and real economy under the Internet plus background. While benefiting the public, it is also challenging the traditional taxi service. Based on the game theory model, the author builds a game model of price subsidy, and will analyze it from the following four aspects: price change on online hailed cars, price change on taxis, chan...Show More
Taxi pricing analysis under government price regulation —A Case study of Shenzhen taxi market
Proceedings 2011 International Conference on Transportation, Mechanical, and Electrical Engineering (TMEE)
Year: 2011 | Conference Paper |
Cited by: Papers (3)
Taxi price is often regulated by local government. Based on taxi market analysis, this paper develops a useful model to determine average taxi price of per ride. Make sure the customers obtain maximum consumer surplus and the taxi operators won't lose. Then, a practical 4-step method is presented to estimate initial charge, initial distance and different distance-based charge corresponding to diff...Show More
An analysis of network model of urban taxi services
2012 8th International Conference on Computing and Networking Technology (INC, ICCIS and ICMIC)
Year: 2012 | Conference Paper |
This paper investigates the operating mechanism of taxi transportation system in a road network. Based on the discussion of taxi services, we briefly introduce the stationary network model of taxi services. After the analysis of that model, several limitations of the model are discussed. We argue that, the stationary model doesn't describe taxi movements in a proper way, and underestimate the traf...Show More
The Use of Uberization Principles to Improve Social Taxi Services
2019 12th International Conference on Developments in eSystems Engineering (DeSE)
Year: 2019 | Conference Paper |
In the era of the Fourth Industrial Revolution, one of the key drivers of change is a sharing economy or so called “uberization”. Uberization is especially rapidly developing in the service sector, in particular - when organizing individual passenger transportation by taxi services. Such taxi services as Uber and Gett, that use technological Internet platforms, allow faster and cheaper than tradit...Show More
Analysis of Berlin's taxi services by exploring GPS traces
2015 International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS)
Year: 2015 | Conference Paper |
Cited by: Papers (28)
With current on-board GPS devices a lot of data is being collected while operating taxis. This paper focuses on analysing travel behaviour and vehicle supply of the Berlin taxi market using floating car data (FCD) for one week each in 2013 and 2014. The data suggests that there is generally a demand peak on workday mornings and a second peak over a longer time in the afternoon. On weekends, the de...Show More
Optimal Multi-taxi Dispatch for Mobile Taxi-Hailing Systems
2016 45th International Conference on Parallel Processing (ICPP)
Year: 2016 | Conference Paper |
Cited by: Papers (26)
Traditional taxi-hailing systems through wireless networks in metropolitan areas allow taxis to compete for passengers chaotically and accidentally, which generally result in inefficiencies, long waiting time and low satisfaction of taxi-hailing passengers. In this paper, we propose a new Mobile Taxi-hailing System (called MTS) based on optimal multi-taxi dispatch, which can be used by taxi servic...Show More
Taxi-RS: Taxi-Hunting Recommendation System Based on Taxi GPS Data
Recommender systems are constructed to search the content of interest from overloaded information by acquiring useful knowledge from massive and complex data. Since the amount of information and the complexity of the data structure grow, it has become a more interesting and challenging topic to find an efficient way to process, model, and analyze the information. Due to the Global Positioning Syst...Show More
An Assignment-Based Approach to Efficient Real-Time City-Scale Taxi Dispatching
This study proposes and evaluates an efficient real-time taxi dispatching strategy that solves the linear assignment problem to find a globally optimal taxi-to-request assignment at each decision epoch. The authors compare the assignment-based strategy with two popular rule-based strategies. They evaluate dispatching strategies in detail in the city of Berlin and the neighboring region of Brandenb...Show More
Mobility-Aware Dynamic Taxi Ridesharing
2020 IEEE 36th International Conference on Data Engineering (ICDE)
Year: 2020 | Conference Paper |
Cited by: Papers (33)
Taxi ridesharing becomes promising and attractive because of the wide availability of taxis in a city and tremendous benefits of ridesharing, e.g., alleviating traffic congestion and reducing energy consumption. Existing taxi ridesharing schemes, however, are not efficient and practical, due to they simply match ride requests and taxis based on partial trip information and omit the offline passeng...Show More
A taxi stand can effectively regulate the behavior of taxi picking up passengers, reduce empty-run rate, and provide a convenient and orderly waiting environment for the public. However, the unreasonable setting of the existing taxi stands in most cities leads to an extremely low utilization rate and a waste of public space resources. This paper presents a novel three-stage strategy to address the...Show More
mT-Share: A Mobility-Aware Dynamic Taxi Ridesharing System
IEEE Internet of Things Journal
Cited by: Papers (13)
Due to the wide availability of taxis in a city and the tremendous benefits of ridesharing, taxi ridesharing becomes promising and attractive in recent years. Existing taxi ridesharing schemes simply match ride requests and taxis based on partial trip information and omit the offline passengers, who will hail a taxi at the roadside without submitting the ride requests to the system. Thus, they are...Show More
Real-Time Taxi–Passenger Matching Using a Differential Evolutionary Fuzzy Controller
Real-time taxi-passenger matching plays a critical role in modern taxi dispatch systems. Currently, the greedy strategy is widely adopted, which limits the quality of the service (QoS) and the profit of the entire system. There are two crucial tasks in this system: 1) the pairwise prioritization and 2) the matching of taxi-passenger pairs. In this paper, we develop a two-stage taxi-passenger match...Show More
Smart public transportation services using smart phones in vehicular environments
Rakan Nimer;Nourhan Farhat;Hadi El Hosni;Chadi El Masri;Nour Alawieh;Mark Saroufim;Hassan Artail
2012 19th International Conference on Telecommunications (ICT)
Year: 2012 | Conference Paper |
Cited by: Papers (1)
Taxis play an important role in modern public transportation networks, especially in Lebanon where public transportation services are still underdeveloped. Street hailing is the current common method for getting a taxi, where you simply wait on side roads and hail to find a taxi who thinks you fit within his planned route. Taxi drivers currently rely on a simple first come-first serve approach wit...Show More
An optimization-based approach for passenger to shared taxi allocation
Hadi El Hosni;Nourhan Farhat;Rakan Nimer;Nour Alawieh;Chadi El Masri;Mark Saroufim;Hassan Artail;Joe Naoum-Sawaya
SoftCOM 2012, 20th International Conference on Software, Telecommunications and Computer Networks
Year: 2012 | Conference Paper |
Cited by: Patents (2)
Taxis play a vital role in modern public transportation networks, especially in countries where public transportation services are still underdeveloped. Street hailing is the current common method for getting a taxi. Taxi drivers currently rely on a simple first come-first serve approach, with a high coefficient of luck controlling their profit. Problems arising from the current system are low tax...Show More
Taxi Demand Prediction using Ensemble Model Based on RNNs and XGBOOST
Ukrish Vanichrujee;Teerayut Horanont;Wasan Pattara-atikom;Thanaruk Theeramunkong;Takahiro Shinozaki
Taxis play an important role in urban transportation. Understanding the taxi demand in the future gives an opportunity to organize the taxi fleet better. It also reduces the waiting time of passengers and cruising time of taxi drivers. Even, there are some works proposed to predict the demand of taxi but there are few studies that consider the function of areas such as hospital area, department st...Show More
Who will get benefit from the new taxi fare rate? Discerning the real driving from Taxi GPS data
2016 7th International Conference of Information and Communication Technology for Embedded Systems (IC-ICTES)
Year: 2016 | Conference Paper |
Cited by: Papers (5)
With an innovation in mobile technology, trend of use mobile device as function to record individual activity is increasing in various fields. In order to determine the taxi meter quality of service in the urban area, we used mobile data to determine cause and fact. Normally, “Taxi Route for Fare-Rate Calculation” and Customer survey. In the first part, we developed an algorithm to calculate taxi ...Show More
A Study of Comfort Measuring System Using Taxi Trajectories
Li-Ping Tung;Tsung-Hsun Chien;Ting-An Wang;Cheng-Yu Lin;Shyh-Kang Jeng;Ling-Jyh Chen
2011 IEEE 17th International Conference on Parallel and Distributed Systems
Year: 2011 | Conference Paper |
Cited by: Papers (3)
The comfort of rides has been identified as one of the top criteria that affects passengers' satisfaction with public transportation systems. Conventional comfort measurement approaches rely on professional measure tools or interviews from passengers, which are costly, time-consuming, and not yet feasible. The concept of Internet of Things (IoT) is a new solution to answer this problem. The idea o...Show More
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