scholarly journals Route Design Model of Multiple Feeder Bus Service Based on Existing Bus Lines

2020 ◽  
Vol 2020 ◽  
pp. 1-12
Author(s):  
Meina Zheng ◽  
Runxuan Zhou ◽  
Shanshan Liu ◽  
Feng Liu ◽  
Xiucheng Guo
Keyword(s):  
Public Transportation ◽  
Design Problem ◽  
Urban Traffic ◽  
Urban Rail Transit ◽  
Design Model ◽  
Optimization Approach ◽  
Entire Area ◽  
Route Design ◽  
Feeder Bus ◽  
Service Gap

The feeder bus, as an important component of urban public transportation systems, is capable of filling the existing service gap left by urban rail transit to satisfy feeder demand. Two challenges to taking advantage of the feeder bus are identified. The first challenge is to identify the service gap, and the second one is to strengthen the coordination of multilevel urban traffic modes. Given these two challenges, this paper established a route design model that introduced a feeder bus demand coefficient to quantify feeder demand for each bus stop. To assist the design of feeder bus routes, an optimization approach based on the tabu search algorithm was proposed. Considering the sizeable combinational optimization problem, the algorithm decomposed this problem into three phases: feeder area partition, candidate stop selection, and route design problem. In the first phase, the entire area was partitioned into several subareas and the specific boundary nodes were moved into an adjacent subarea. Then, the stops with the minimum overall travel cost from every subarea were chosen as candidate ones under the limit of operating costs. The last step was to find the shortest circular route to visit each candidate stop and determine the operating direction. The proposed optimization had been implemented in a downtown area of Suzhou, China, in order to verify its effectiveness through the performance in terms of the quality of optimal solutions and computing efficiency. In addition, a possibility of simplifying a multiple circular route design problem to a single route design problem utilizing spatial clustering is provided to enhance the computing efficiency in a large-scale network.

scholarly journals Route Design Model of Feeder Bus Service for Urban Rail Transit Stations

2017 ◽  
Vol 2017 ◽  
pp. 1-6 ◽  
Author(s):  
Zhenjun Zhu ◽  
Xiucheng Guo ◽  
Jun Zeng ◽  
Shengrui Zhang
Keyword(s):  
Public Transportation ◽  
Short Distance ◽  
Urban Rail Transit ◽  
Rail Transit ◽  
Demand Model ◽  
Urban Rail ◽  
Feeder Bus ◽  
Potential Demand ◽  
Bus Services ◽  
Distance Travel

As an important part of urban public transportation systems, the feeder bus fills a service gap left by rail transit, effectively extending the range of rail transit’s service and solving the problem of short-distance travel and interchanges. By defining the potential demand of feeder bus services and considering its relationship with the traffic demands of corresponding staging areas, the distance between road and rail transit, and the repetition factor of road bus lines, this paper established a potential demand model of roads by opening feeder bus services and applying a logit model for passenger flow distribution. Based on a circular route model, a route starting and ending at urban rail transit stations was generated, and a genetic algorithm was then applied to solve it. The Wei-Fang community of Shanghai was selected as the test area. Per the model and algorithm, the feeder route length was conformed to a functional orientation of short-distance travel and the feeder service of a feeder bus; the route mostly covered where conventional bus lines were fewer, which is a finding that is in agreement with the actual situation; the feasibility of the model and algorithm was verified.

Research on Optimization of Feeder Bus Network Joint for Urban Rail Transit

2013 ◽  
Vol 869-870 ◽  
pp. 256-259
Author(s):  
Ping Hong Wei ◽  
Jie Xiong ◽  
Meng Hao Zhang
Keyword(s):  
Genetic Algorithm ◽  
Optimization Model ◽  
Design Problem ◽  
Urban Rail Transit ◽  
Network Design Problem ◽  
Rail Transit ◽  
Urban Rail ◽  
Feeder Bus ◽  
Bus Network

The feeder bus network design problem is researched in this paper, aiming at connecting with the urban rail transit as well as possible. In solving the problem, a set of process in locating feeder bus routes is presented first, and then an optimization model of determining feeder bus network is established. The genetic algorithm (GA) is used in solving the problem and it is implemented in VC++ language. Finally, a case study is presented based on the existing rail transit line 3 in Dalian, with optimized the feeder bus routes obtained. The result also shows that the model and the algorithm are feasible in solving the problem.

Collaborative passenger flow control of urban rail transit network considering balanced distribution of passengers

2021 ◽  
pp. 2150461
Author(s):  
Xiang Li ◽  
Yan Bai ◽  
Kaixiong Su
Keyword(s):  
Flow Control ◽  
Programming Model ◽  
Flow Characteristics ◽  
Service Level ◽  
Urban Traffic ◽  
Urban Rail Transit ◽  
Control Measures ◽  
Rail Transit ◽  
Passenger Flow ◽  
Urban Rail

The increase of urban traffic demands has directly affected some large cities that are now dealing with more serious urban rail transit congestion. In order to ensure the travel efficiency of passengers and improve the service level of urban rail transit, we proposed a multi-line collaborative passenger flow control model for urban rail transit networks. The model constructed here is based on passenger flow characteristics and congestion propagation rules. Considering the passenger demand constraints, as well as section transport and station capacity constraints, a linear programming model is established with the aim of minimizing total delayed time of passengers and minimizing control intensities at each station. The network constructed by Line 2, Line 6 and Line 8 of the Beijing metro is the study case used in this research to analyze control stations, control durations and control intensities. The results show that the number of delayed passengers is significantly reduced and the average flow control ratio is relatively balanced at each station, which indicates that the model can effectively relieve congestion and provide quantitative references for urban rail transit operators to come up with new and more effective passenger flow control measures.

An Integrated Design Optimization Approach for Quantitative and Qualitative Search Space

2003 ◽  
Author(s):  
Victor Oduguwa ◽  
Rajkumar Roy ◽  
Didier Farrugia
Keyword(s):  
Real World ◽  
Design Problem ◽  
Integrated Design ◽  
Search Space ◽  
Optimization Approach ◽  
Design Optimisation ◽  
Solution Approach ◽  
Rod Rolling ◽  
Algorithmic Engineering ◽  
Real World Problems

Most of the algorithmic engineering design optimisation approaches reported in the literature aims to find the best set of solutions within a quantitative (QT) search space of the given problem while ignoring related qualitative (QL) issues. These QL issues can be very important and by ignoring them in the optimisation search, can have expensive consequences especially for real world problems. This paper presents a new integrated design optimisation approach for QT and QL search space. The proposed solution approach is based on design of experiment methods and fuzzy logic principles for building the required QL models, and evolutionary multi-objective optimisation technique for solving the design problem. The proposed technique was applied to a two objectives rod rolling problem. The results obtained demonstrate that the proposed solution approach can be used to solve real world problems taking into account the related QL evaluation of the design problem.

scholarly journals Study on level-of-service for urban rail transit passages from the passenger perspective

2021 ◽  
Vol 283 ◽  
pp. 02041
Author(s):  
Yibing Chen ◽  
Xiao Liang ◽  
Yizhuo Fu
Keyword(s):  
Public Transportation ◽  
Orthogonal Experiment ◽  
Reliability And Validity ◽  
Service Level ◽  
Urban Rail Transit ◽  
Classification Method ◽  
Rail Transit ◽  
Factors Affecting ◽  
Passenger Satisfaction ◽  
Urban Rail

With the acceleration of urbanization and the shortage of transportation resources in large cities, urban rail transit has gradually become the backbone of urban public transportation system. In order to improve the service level of urban rail transit, this paper studies the factors influencing the service level of subway station passages and the classification method based on the passenger-perception method. Through investigation and research, the passage service level evaluation indicators (width, walking time, per capita area, illumination intensity and guide signage) have been determined. Based on orthogonal experiment, 3ds max was used to set up 25 passage scenes with different parameters from passengers' perspective. A passenger satisfaction questionnaire was designed and distributed, the reliability and validity of the questionnaire were tested to ensure the validity of the data. And based on the factor analysis method, the factors affecting passenger perception are analyzed. A well-fitting model of the relationship between passenger scores and passage parameters is established, and the passenger scores are converted into service levels. Finally, a service level classification method is given, which can provide reference for the service level evaluation of existing stations and the design of physical attributes and environmental factors of new station passages.

scholarly journals Research on Decision Evaluation Model of HOV Lane Setting

2021 ◽  
Vol 2021 ◽  
pp. 1-15
Author(s):  
Ding Lv ◽  
Qunqi Wu ◽  
Bo Chen ◽  
Yahong Jiang
Keyword(s):  
Traffic Congestion ◽  
Road Traffic ◽  
Evaluation Model ◽  
Path Selection ◽  
Urban Traffic ◽  
Urban Rail Transit ◽  
Rail Transit ◽  
Travel Efficiency ◽  
Hov Lanes ◽  
The City

In order to achieve the purpose of improving the travel efficiency of commuters in the periphery of the city, expanding the beneficiary groups of urban rail transit, and alleviating urban road traffic congestion, when planning and setting up HOV in the periphery of the city, it is necessary to analyze the feasibility of HOV lane setting from both the demand conditions and the setting conditions. This paper combines machine learning to construct a decision-making evaluation model for HOV lane setting and studies the optimal layout model and algorithm of HOV lanes in service rail transit commuter chain. The setting, planning, and layout of HOV lanes are a two-way interactive process of traveler's path selection and designer's road planning. Finally, after the model is constructed, the performance of the system model is verified. The results show that the system studied in this paper can be used for traffic data and lane planning analysis. Therefore, in the process of urban operation, the HOV model constructed in this paper is mainly used to alleviate urban traffic and improve urban operation efficiency.

scholarly journals A NOVEL APPROACH TO OPTIMIZE THE RIDESHARING PROBLEM USING GENETIC ALGORITHM

2019 ◽  
Vol XLII-4/W18 ◽  
pp. 875-878
Author(s):  
S. Rangriz ◽  
M. Davoodi ◽  
J. Saberian
Keyword(s):  
Genetic Algorithm ◽  
Air Pollution ◽  
Public Transportation ◽  
Noise Pollution ◽  
Transportation Systems ◽  
Urban Traffic ◽  
Traffic Jam ◽  
Novel Approach ◽  
Proposed Model ◽  
Public Transportation Systems

Abstract. The enormous increase in the number of vehicles in the cities makes plenty of problems including air pollution, noise pollution, and traffic jam. Overcoming these annoying issues needs a significant plan in urban management such as using modern techniques in public transportation systems. Sharing either cars or taxies is one of the most interesting ways that has been used in some countries recently. In this phenomenon, 2 or 3 people use other’s car or taxi. In this article, an innovative approach to share taxies is proposed, and it uses a Genetic Algorithm to determine the placement of travelers in taxies. Therefore, some taxis will be switched off, and this helps to decrease urban traffic jam in cities. The results present that the proposed model turns off 69.8 % of taxies, and also 27.8 % of them carry more than one passenger; hence, this confirms the performance of the proposed model.

scholarly journals Sustainabilization of Hanoi mobility approached from new residential areas: Will it be a city without motorbike?

2019 ◽  
Vol 13 (1) ◽  
pp. 89-99 ◽  
Author(s):  
Tran Minh Tung
Keyword(s):  
Public Transportation ◽  
Transportation System ◽  
Sustainable Transportation ◽  
Urban Traffic ◽  
Residential Areas ◽  
Sustainable Mobility ◽  
Improvement Project ◽  
Personal Mobility ◽  
Doi Moi ◽  
Level Of Satisfaction

Due to the policy of the Doi moi in Vietnam started in 1986, Hanoi has undergone many important changes. Currently, Hanoi's traffic is characterized by seemingly continuous motorcycle flows - a representative of high personal mobility in the context of rising incomes. Congestion, dust, pollution, insecurity, overload, etc., they are important keywords to describe Hanoi's urban traffic. Hanoi has put in place a number of policies to improve the transportation system. In 2017, in Hanoi's new mobility improvement project, there is a regulation on motorcycles: “The municipality will zone by limiting the activities of motorcycles according to the infrastructure and the service capacity of the public transportation system to stop motorcycle activities in the central districts in 2030” that becomes controversial. This article, based on the results of surveys assessing the level of satisfaction and desires of people about traffic at the KDTMs of Hanoi, analyzes the differences between the wishes of the municipality and the practices of Hanoi, through habits, modes of mobility of KDTM residents - the new residential areas of Hanoi that bring a different atmosphere of habitat compared to existing neighborhoods, by changing the mode of (re)making of the city. How will the traffic of KDTM residents be affected by this decision as well as how KDTMs will participate in the sustainable transportation of Hanoi?. It is the KDTMs with their “novelties” that will have to become pioneers creating opportunities of the changing of Hanoi traffic. Keywords: Hanoi; sustainable mobility; efficient transportation; motorcycle; KDTM (new residential area). Received 08 December 2018, Revised 30 January 2019, Accepted 30 January 2019

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