|Table of Contents|

Dynamic control strategy for public transportation based on real-time information sharing(PDF)

长安大学学报（自然科学版）[ISSN:1006-6977/CN:61-1281/TN]

Issue:
2023年6期
Page:
95-105
Research Field:
交通工程
Publishing date:

Info

Title:
Dynamic control strategy for public transportation based on real-time information sharing
Author(s):
JIANG Rui-sen;  HU Da-wei;  SUN Qian;  GAO Tian-yang
(School of Transportation Engineering, Chang'an University, Xi'an 710064, Shaanxi, China)
Keywords:
traffic engineering;  dynamic control strategy;  real-time prediction;  GA-LSTM prediction model;  information sharing
PACS:
U491.1
DOI:
10.19721/j.cnki.1671-8879.2023.06.009
Abstract:
To respond to the trend that more and more passengers will use real-time location information from mobile phone software to help them plan their departure times, investigate the impact of the degree of real-time vehicle information sharing on the dynamic control strategy, the long short term memory(LSTM)model and genetic algorithm(GA)were used to propose a hybrid GA-LSTM real-time bus trajectory prediction model. A bus control strategy considering information sharing was developed based on the bus trajectory prediction model to minimize the waiting time and onboard travel time. And the performance of the prediction model and strategy was assessed by real-world data in Xi'an. Moreover, the performance of the dynamic control strategy with various maximum holding time and the proportion of passengers receiving real-time information were analyzed. The results show that the prediction result of dwell time and link travel time prediction by the GA-LSTM model outperformed the LSTM model, the average root mean square error(RMSE)value reduce by 21.19% and 44.55% respectively. In addition, the objective value is reduced by 31.66% under real-time information sharing. The value of the objective function decreases to a constant value and then remains stable as the maximum holding time increases, and the value of the objective function continues to decrease as the proportion of passengers receiving real-time information increases. The conclusion can help transport agencies to design flexible bus dynamic control strategies based on the proportion of passengers receiving information sharing, and lay a theoretical foundation for enhancing bus operations and service levels.3 tabs, 8 figs, 28 refs.

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Last Update: 2023-10-30