Dwell Time Modelling and Optimized Simulations for Crowded Rail Transit Lines Based on Train Capacity

نویسندگان

  • ZHIBIN JIANG
  • CHAO XIE
چکیده

Understanding the nature of rail transit dwell time has potential benefits for both the users and the operators. Crowded passenger trains cause longer dwell times and may prevent some passengers from boarding the first available train that arrives. Actual dwell time and the process of passenger alighting and boarding are interdependent through the sequence of train stops and propagated delays. A comprehensive and feasible dwell time simulation model was developed and optimized to address the problems associated with scheduled timetables. The paper introduces the factors that affect dwell time in urban rail transit systems, including train headway, the process and number of passengers alighting and boarding the train, and the inability of train doors to properly close the first time because of overcrowded vehicles. Finally, based on a time-driven micro-simulation system, Shanghai rail transit Line 8 is used as an example to quantify the feasibility of scheduled dwell times for different stations, directions of travel and time periods, and a proposed dwell time during peak hours in several crowded stations is presented according to the simulation results.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Demand-oriented timetable design for urban rail transit under stochastic demand

In the context of public transportation system, improving the service quality and robustness through minimizing the average passengers waiting time is a real challenge. This study provides robust stochastic programming models for train timetabling problem in urban rail transit systems. The objective is minimization of the weighted summation of the expected cost of passenger waiting time, its va...

متن کامل

Multi-Train Energy Saving for Maximum Usage of Regenerative Energy by Dwell Time Optimization in Urban Rail Transit Using Genetic Algorithm

Abstract: With its large capacity, the total urban rail transit energy consumption is very high; thus, energy saving operations are quite meaningful. The effective use of regenerative braking energy is the mainstream method for improving the efficiency of energy saving. This paper examines the optimization of train dwell time and builds a multiple train operation model for energy conservation o...

متن کامل

A turn-back track constraint train scheduling algorithm on a multi-interval rail transit line

With the rapid increase of passenger volume, the interval of some rail transit lines in China has reached a minimum value, which makes turn-back capacity one of the main capacity-limiting factors instead of section headway, particularly during the peak hours on workdays. A general simulation modeling framework and algorithm in which the divide and conquer rule is adopted for train scheduling pr...

متن کامل

A Study of the Wear Behavior of a Rail Material

The rail track is one of the most important elements of a railway system. During the passage of trains, the rails are subjected to contact load that comes from the wheels of the train.  The railway track often fails in service due to wear caused by contact fatigue and other wear damage mechanisms that could also limit the life span of the railway infrastructure and railway vehicle. The aim of t...

متن کامل

The potential for saving energy by more precisely calculating station dwell times on commuter rail service

This paper evaluates the effectiveness of reducing scheduled station dwell time to save energy on commuter rail lines. Most commuter rail schedules include a fixed amount of dwell time (e.g. 30-seconds) at each station. For stations with higher demand the station dwell time may be up to 1 minute. Generally the station dwell time is set high enough to meet peak period passenger boarding/alightin...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2015