Project centers in Chennai

IEEE Final Year Project Topic for CSE

Base Paper Title

Predicting Ride-hailing Service Demand viaRPA-LSTM

Our Title

IEEE Project Abstract

Ride-hailing is a representative practice of rapidly developing sharing economy, which not only brings people convenience on mobility, but also benefits the utilization of vehicular resources. For ride-hailing service providers, it is necessary to supervise the demands of customers so that they could carry out reasonable dispatches. To achieve it, a number of data mining methods have been applied. But most of these predicting methods only consider this problem from the temporal aspect,neglecting the connection inter-and intra-blocks of the city. Blocks are the outputs of region partition, which divides the whole city into a series of divisions. At the same time, the partitioned map,specifying borders of blocks, is useful for platforms to improve the process of supervising, dispatching and recommending. However,the majority of current partition methods are static and cannot effectively utilize features extracted from historical and geographical operational data. In this work, we propose to conduct partition task with taking distinct situations in different blocks into consideration. In particular, we propose a novel Region-Partition-Assisted Long Short-term Memory Neural Network forride-hailing service demand prediction. This is a two-phase model,consisting of the grid-merging region partition and the application of artificial neural network. In experiment part, we show how the region partition method assists LSTM to better forecast the demands, and compare it with other partition techniques. Finally,for evaluating the performance of RPA-LSTM, we conduct extensive experiments on a real-world data set provided by DidiChuxing. The experimental results clearly demonstrate that our method can effectively improve the accuracy of prediction.

Existing System

Drawback of Existing System

Proposed System

Advantage of Proposed System

Enhancement from Base Paper

Architecture

Technology Used : Hardware & Software

Existing Algorithm

Proposed Algorithm

Advantages of Proposed Algorithm

Project Modules

Literature Survey

Conclusion

Future Work

To View the Abstract Contents

Exclusive
Offer
Refer Your Friend
10%
CASHBACK
Refer Another Friend
Thanks for Referring Your Friend / Relation

Now it is Your Time to Shine.

Great careers Start Here.

We Guide you to Every Step

Success! You're Awesome

Thank you for filling out your information!

We’ve sent you an email with your Final Year Project PPT file download link at the email address you provided. Please enjoy, and let us know if there’s anything else we can help you with.

To know more details Call 900 31 31 555

The WISEN Team