The Analysis of Demand Characteristics of Passenger Transportation Based on BP Neural Network

被引：2

作者：

Liao, Yong ^{[1
]}

Wu, Tao ^{[1
]}

机构：

[1] Civil Aviat Flight Univ China, Coll Air Traff Management, Guanghan 618307, Sichuan, Peoples R China

来源：

SUSTAINABLE DEVELOPMENT AND ENVIRONMENT II, PTS 1 AND 2 | 2013年 / 409-410卷

关键词：

passenger transportation; demand characteristics; BP neural network;

D O I：

10.4028/www.scientific.net/AMM.409-410.1292

中图分类号：

TU [建筑科学];

学科分类号：

0813 ;

摘要：

To quantitatively analyze travelers' preference under different influence factors on transport mode, the thoughts of orthogonal design is introduced into optimizing questionnaires without the loss of information. Combined with stated preference survey method, data related to travelers' preference are collected. In order to analyze survey data scientifically and roundly,BP neural network is used. By taking non-investigated options as inputs, BP neural network can figure out the scores of all options which are not be surveyed. At last a numeric example demonstrates the use of BP neural network in the analysis of demand characteristic of passenger transposition is valid and feasible.

引用

页码：1292 / 1295

页数：4

共 50 条

[41] Regional Logistics Express Demand Forecasting Based on Improved GA-BP Neural Network with Indicator Data Characteristics
Ma, Feihu
Wang, Shuhan
Xie, Tianchang
Sun, Cuiyu
[J]. APPLIED SCIENCES-BASEL, 2024, 14 (15):
[42] Research on Risk Assessment of Hazardous Freight Road Transportation Based on BP Neural Network
Qu Zhen-tao
Wang Yu-hui
[J]. PROCEEDINGS OF 2010 INTERNATIONAL CONFERENCE ON LOGISTICS SYSTEMS AND INTELLIGENT MANAGEMENT, VOLS 1-3, 2010, : 629 - 631
[43] Vibrational Bruise Prediction of Harvested Kiwifruits under Transportation based on the BP Neural Network
Song, Shujie
Huang, Xue
Li, Yuchi
[J]. JOURNAL OF INTERNET TECHNOLOGY, 2022, 23 (02): : 391 - 396
[44] Elasticity analysis of railway passenger transportation demand and its marketing strategy
Xia, Weihuai
[J]. Changsha Tiedao Xuyuan Xuebao/Journal of Changsha Railway University, 2000, 18 (02): : 96 - 100
[45] An Intelligent Based Model for Urban Demand-Responsive Passenger Transportation
Jin, Xu
Itmi, Mhamed
Abdulrab, Habib
[J]. INNOVATIONS AND ADVANCED TECHNIQUES IN SYSTEMS, COMPUTING SCIENCES AND SOFTWARE ENGINEERING, 2008, : 520 - 525
[46] A Method for Private Car Transportation Dispatching Based on a Passenger Demand Model
Jiang, Wenbo
Wo, Tianyu
Zhang, Mingming
Yang, Renyu
Xu, Jie
[J]. INTERNET OF VEHICLES - SAFE AND INTELLIGENT MOBILITY, IOV 2015, 2015, 9502 : 37 - 48
[47] Method for Forecasting the Logistics Demand of Shenyang Economic Zone Based on BP Neural Network
Zhou, Xiao-ye
Wang, Geng
Liu, Nan
[J]. ADVANCES IN COMPUTER SCIENCE, INTELLIGENT SYSTEM AND ENVIRONMENT, VOL 2, 2011, 105 : 687 - +
[48] Prediction of Information Talent Demand Based on the Grayscale Prediction Model and the BP Neural Network
Sun, Chan
Lu, Yixia
[J]. MOBILE INFORMATION SYSTEMS, 2022, 2022
[49] Research on Public Bicycle Demand Forecasting Based on Historical Data and BP Neural Network
Jian, Meiying
Zhang, Jiayu
[J]. CICTP 2020: TRANSPORTATION EVOLUTION IMPACTING FUTURE MOBILITY, 2020, : 3074 - 3086
[50] Research on the Market Talent Demand Based on the Grey Prediction Model of BP Neural Network
Yu, Zhen-zhen
Jiang, Yi
Deng, Jiang-long
Tang, Yuan
[J]. 2019 INTERNATIONAL CONFERENCE ON ENERGY, POWER, ENVIRONMENT AND COMPUTER APPLICATION (ICEPECA 2019), 2019, 334 : 331 - 335

← 1 2 3 4 5 →