A review of bus arrival time prediction using artificial intelligence
N Singh, K Kumar - Wiley Interdisciplinary Reviews: Data …, 2022 - Wiley Online Library
Buses are one of the important parts of public transport system. To provide accurate
information about bus arrival and departure times at bus stops is one of the main parameters …
information about bus arrival and departure times at bus stops is one of the main parameters …
Multistep prediction of bus arrival time with the recurrent neural network
Accurate predictions of bus arrival times help passengers arrange their trips easily and
flexibly and improve travel efficiency. Thus, it is important to manage and schedule the …
flexibly and improve travel efficiency. Thus, it is important to manage and schedule the …
A high-precision short-term prediction method with stable performance for satellite clock bias
X Wang, H Chai, C Wang - GPS Solutions, 2020 - Springer
Real-time users cannot carry out real-time precise point positioning (RT-PPP) because they
cannot receive real-time service (RTS) products from the international GPS service (IGS) in …
cannot receive real-time service (RTS) products from the international GPS service (IGS) in …
Predicting bus arrival time using BP neural network and dynamic transfer
J Fei, Y Lu, Y Guo, H Zhang - Procedia Computer Science, 2020 - Elsevier
Precisely predicting bus arrival time and offering the optimal transfer scheme are the two key
factors for realizing the intelligent transportation. Most studies only use historical data to …
factors for realizing the intelligent transportation. Most studies only use historical data to …
[HTML][HTML] 基于自适应粒子群小波网络的公共自行车出行需求预测
杜明洋， 程琳， 李雪峰 - 公路交通科技, 2019 - html.rhhz.net
首先, 基于公共自行车租赁系统的借还特性, 分析相邻租赁点借还需求的相似性和互补性,
租赁点的周转特性以及周期稳定特性, 并考虑工作日与周末出行需求的差异性. 其次 …
租赁点的周转特性以及周期稳定特性, 并考虑工作日与周末出行需求的差异性. 其次 …
Study on dynamic influence of passenger flow on intelligent bus travel service model
S Liu, X Li, C He - Transport, 2021 - jau.vgtu.lt
To improve the service quality and convenience of bus travel services, this paper proposes
the Intelligent Bus Travel Service Model (IBTSM). The IBTSM makes it possible to provide a …
the Intelligent Bus Travel Service Model (IBTSM). The IBTSM makes it possible to provide a …
一种基于Gradient Boosting 的公交车运行时长预测方法
赖永炫， 杨旭， 曹琦， 曹辉彬， 王田， 杨帆 - 大数据, 2019 - infocomm-journal.com
摘要目前, 我国公交公司主要依靠经验丰富的工作人员估计车辆回场时间, 进而进行车辆调度,
此方式缺乏辅助的预测方法, 常常造成较大的误差与错误的调度决策. 从公交公司的实际需求 …
此方式缺乏辅助的预测方法, 常常造成较大的误差与错误的调度决策. 从公交公司的实际需求 …
[引用][C] 客流量动态影响下公交智慧出行服务模型研究
刘莎， 董国发， 李想， 曾晰 - 重庆交通大学学报(自然科学版), 2020 - xbzk.cqjtu.edu.cn
公交车是城镇居民出行的重要交通工具. 由于受到行程时间, 客流量等不确定性问题的影响,
乘公交车出行的乘客经常遭遇延误. 基于上述问题, 针对出行者乘公交车出行全过程提出了一种 …
乘公交车出行的乘客经常遭遇延误. 基于上述问题, 针对出行者乘公交车出行全过程提出了一种 …