scholarly journals A Game Theory Approach for the Operators’ Behavior Analysis in the Urban Passenger Transportation Market

2012 ◽  
Vol 5 ◽  
pp. 38-43 ◽  
Author(s):  
Xiao Wei Hu ◽  
Jian Wang ◽  
Guang Lin Sun
Keyword(s):  
Game Theory ◽  
Economic Policy ◽  
Travel Time ◽  
Public Transportation ◽  
Light Rail ◽  
Theory Approach ◽  
Passenger Transportation ◽  
Transportation Modes ◽  
Total Travel Time ◽  
Level Model

Urban passenger transportation market in China now is composed by three public transportation modes, including the conventional bus, taxi and the subway (or light rail). There are both cooperation and competitive behavior existing among these three different transportation modes. This paper aims to describe how these three operators make their operational decisions in the competitive environment. A bi-level programming operational model is proposed to model urban passenger transportation operators’ decision behavior, which is based on the game theory to describe the behavioral conjectures among the management authority, different operators and passengers. The upper-level model described the management authority’ regulation on the fares of each mode, which aimed to achieve the comprehensive social objectives, indexed by the travel time cost, air pollution cost and energy consumption cost. The lower-level model described the three operators’ aiming to maximize the profit by determining the service frequency, which can reflect the operators’ cooperation and completive behavior under urban passenger transportation economic policy. A Logit model is proposed to analyze passengers’ mode choice behavior with the maximization of their travel utilities, which considers the total travel time, waiting time and total travel fare of each mode. This research will provide more evidence for urban passenger transportation development and contribute to urban passenger transportation economic policy establishment and implementation.

Estimating Express Train Preference of Urban Railway Passengers Based on Extreme Gradient Boosting (XGBoost) using Smart Card Data

2021 ◽  
pp. 036119812110133
Author(s):  
Eun Hak Lee ◽  
Kyoungtae Kim ◽  
Seung-Young Kho ◽  
Dong-Kyu Kim ◽  
Shin-Hyung Cho
Keyword(s):  
Travel Time ◽  
Smart Card ◽  
Public Transportation ◽  
Gradient Boosting ◽  
Log Data ◽  
Smart Card Data ◽  
Extreme Gradient Boosting ◽  
Express Train ◽  
Total Travel Time ◽  
The Individual

As the share of public transport increases, the express strategy of the urban railway is regarded as one of the solutions that allow the public transportation system to operate efficiently. It is crucial to express the urban railway’s express strategy to balance a passenger load between the two types of trains, that is, local and express trains. This research aims to estimate passengers’ preference between local and express trains based on a machine learning technique. Extreme gradient boosting (XGBoost) is trained to model express train preference using smart card and train log data. The passengers are categorized into four types according to their preference for the local and express trains. The smart card data and train log data of Metro Line 9 in Seoul are combined to generate the individual trip chain alternatives for each passenger. With the dataset, the train preference is estimated by XGBoost, and Shapley additive explanations (SHAP) is used to interpret and analyze the importance of individual features. The overall F1 score of the model is estimated to be 0.982. The results of feature analysis show that the total travel time of the local train feature is found to substantially affect the probability of express train preference with a 1.871 SHAP value. As a result, the probability of the express train preference increases with longer total travel time, shorter in-vehicle time, shorter waiting time, and few transfers on the passenger’s route. The model shows notable performance in accuracy and provided an understanding of the estimation results.

scholarly journals A Novel On-Ramp Merging Strategy for Connected and Automated Vehicles Based on Game Theory

2020 ◽  
Vol 2020 ◽  
pp. 1-11
Author(s):  
Haigen Min ◽  
Yukun Fang ◽  
Runmin Wang ◽  
Xiaochi Li ◽  
Zhigang Xu ◽  
...  
Keyword(s):  
Game Theory ◽  
Travel Time ◽  
Fuel Consumption ◽  
Transportation Network ◽  
Control Algorithms ◽  
Traffic Density ◽  
Automated Vehicles ◽  
Network Efficiency ◽  
Total Travel Time ◽  
The Cost

Connected and automated vehicles (CAVs) have attracted much attention of researchers because of its potential to improve both transportation network efficiency and safety through control algorithms and reduce fuel consumption. However, vehicle merging at intersection is one of the main factors that lead to congestion and extra fuel consumption. In this paper, we focused on the scenario of on-ramp merging of CAVs, proposed a centralized approach based on game theory to control the process of on-ramp merging for all agents without any collisions, and optimized the overall fuel consumption and total travel time. For the framework of the game, benefit, loss, and rules are three basic components, and in our model, benefit is the priority of passing the merging point, represented via the merging sequence (MS), loss is the cost of fuel consumption and the total travel time, and the game rules are designed in accordance with traffic density, fairness, and wholeness. Each rule has a different degree of importance, and to get the optimal weight of each rule, we formulate the problem as a double-objective optimization problem and obtain the results by searching the feasible Pareto solutions. As to the assignment of merging sequence, we evaluate each competitor from three aspects by giving scores and multiplying the corresponding weight and the agent with the higher score gets comparatively smaller MS, i.e., the priority of passing the intersection. The simulations and comparisons are conducted to demonstrate the effectiveness of the proposed method. Moreover, the proposed method improved the fuel economy and saved the travel time.

scholarly journals Exploring Preferences for Transportation Modes in an Urban Air Mobility Environment: Munich Case Study

2019 ◽  
Vol 2673 (10) ◽  
pp. 427-442 ◽  
Author(s):  
Mengying Fu ◽  
Raoul Rothfeld ◽  
Constantinos Antoniou
Keyword(s):  
Travel Time ◽  
Public Transportation ◽  
Stated Preference ◽  
Multinomial Logit Model ◽  
Metropolitan Region ◽  
Urban Air ◽  
Older Individuals ◽  
Main Mode ◽  
Transportation Services ◽  
Transportation Modes

Urban Air Mobility (UAM) is a recent mobility concept with the potential to reduce travel time and change travel patterns. When evaluating the introduction of UAM, understanding the potential users’ choice behavior regarding current available urban transportation modes and autonomous transportation services is essential to demand estimation. This preliminary research intends to gain insight into the travel behavior impacts of autonomous transportation modes, especially UAM, by deriving measures for transportation service attributes and identifying characteristics of potential users who might adopt autonomous transportation services, particularly the services of UAM. Thus, a stated preference questionnaire was designed and distributed in Munich metropolitan region. A main mode choice multinomial logit model and several sub-models, based on market segmentation, were estimated regarding four transportation alternatives: private car, public transportation, autonomous taxi, and autonomous flying taxi. The results indicate that travel time, travel cost, and safety may be critical determinants in autonomous transportation mode adoption. The potential consumers may be willing to pay more for using autonomous transportation modes, especially the service of UAM. Among different market segments, younger individuals, as well as older individuals with high household income, are more likely to adopt UAM. In addition, during the market entry stage, potential travelers may favor UAM particularly for performing non-commuting trips.

scholarly journals The Process Occupying and Tending to the Use of Roads by Online Motorcycle Transportation

2019 ◽  
Vol 3 (1) ◽  
pp. 31
Author(s):  
Tin Budi Utami
Keyword(s):  
Public Transportation ◽  
Service Providers ◽  
Light Rail ◽  
Rail Transit ◽  
Rapid Transit ◽  
Transportation Mode ◽  
Transportation Services ◽  
Transportation Modes ◽  
Mode Of Transportation ◽  
The Government

Jakarta is increasingly improving its public transportation services. At present, a breakthrough in the development of transportation has been made, especially related to the protocol road. These include expanding Transjakarta routes, Mass Rapid Transit, and Light Rail Transit. The addition of the number of modes of transportation has an impact on the addition of the number of stations or stops. However, it does not match by the availability of the government in procuring land for connecting transportation modes into deeper areas. The formal and informal transportation providers as an introduction to integrated transportation users still use the highway corridor as their place to raise, lower, and wait for passengers. Not yet found a place to raise, lower, and wait for those around the top of the officially integrated mode of transportation from the government or service providers. Therefore, this study was conducted to see how the division of land used by providers of the integrated transportation mode connector. This research method is to observe the spread of land use providers of formal and informal transportation services.

scholarly journals A Multi-Objective Meta-Heuristic Approach to Improve the Bus Transit Network: A Case Study of Fargo-Moorhead Area

2021 ◽  
Vol 13 (19) ◽  
pp. 10885
Author(s):  
Mohsen Momenitabar ◽  
Jeremy Mattson
Keyword(s):  
Travel Time ◽  
Public Transportation ◽  
Transportation Systems ◽  
Network Design Problem ◽  
Mixed Integer ◽  
Nsga Ii ◽  
Transit Network ◽  
Multi Objective ◽  
Total Travel Time ◽  
Initial Route

In this study, the Transit Network Design Problem (TNDP) is studied to determine the set of routes and frequency on each route for public transportation systems. To ensure the important concerns of planners like route length, route configuration, demand satisfaction, and attractiveness of the transit routes, the TNDP is solved to generate a set of routes by proposing an initial route set generation (IRSG) procedure embedded into the NSGA-II algorithm. The proposed IRSG algorithm aims to produce high-quality initial route set solutions to reach better optimization procedures. Moreover, the Multi-Objective Mixed-Integer Non-Linear Programming (MOMINLP) model is proposed to formulate the frequency setting problem on each route by minimizing the total travel time of passengers (user costs) and operator costs simultaneously, while maximizing the service coverage area near all the bus stops. The MOMINLP model is solved by applying the NSGA-II algorithm to produce a Pareto front between the first and the second objective functions. The model was applied to the Fargo-Moorhead Area (FMA), a small urban area. Results were compared with the existing transit network to measure the efficiency of the NSGA-II solution methodology. The proposed algorithm was found to considerably decrease the total travel time of passengers.

scholarly journals User-based representation of time-resolved multimodal public transportation networks

2016 ◽  
Vol 3 (7) ◽  
pp. 160156 ◽  
Author(s):  
Laura Alessandretti ◽  
Márton Karsai ◽  
Laetitia Gauvin
Keyword(s):  
Public Transportation ◽  
Urban Areas ◽  
Quantitative Description ◽  
Transportation Systems ◽  
Time Resolved ◽  
The Public ◽  
Network Layers ◽  
Transportation Modes ◽  
Total Travel Time ◽  
Public Transportation Systems

Multimodal transportation systems, with several coexisting services like bus, tram and metro, can be represented as time-resolved multilayer networks where the different transportation modes connecting the same set of nodes are associated with distinct network layers. Their quantitative description became possible recently due to openly accessible datasets describing the geo-localized transportation dynamics of large urban areas. Advancements call for novel analytics, which combines earlier established methods and exploits the inherent complexity of the data. Here, we provide a novel user-based representation of public transportation systems, which combines representations, accounting for the presence of multiple lines and reducing the effect of spatial embeddedness, while considering the total travel time, its variability across the schedule, and taking into account the number of transfers necessary. After the adjustment of earlier techniques to the novel representation framework, we analyse the public transportation systems of several French municipal areas and identify hidden patterns of privileged connections. Furthermore, we study their efficiency as compared to the commuting flow. The proposed representation could help to enhance resilience of local transportation systems to provide better design policies for future developments.

scholarly journals Analisis Perbandingan Waktu Perjalanan dan Biaya antara Kendaraan Pribadi dan Transjakarta menggunakan Metode PCI (Studi Kasus : TJ Koridor IX Pinang Ranti-Pluit)

2021 ◽  
Vol 6 (2) ◽  
pp. 150-159
Author(s):  
Adita Utami ◽  
William Kurnia Rubin Natio
Keyword(s):  
Travel Time ◽  
Public Transportation ◽  
Secondary Data ◽  
Passenger Car ◽  
Private Vehicle ◽  
Capacity Limit ◽  
The Pacific ◽  
Transportation Modes ◽  
Time Required ◽  
The Cost

Selection of the use of transportation modes to travel from origin to destination is influenced by various factors. Factors that must be considered include travel time, vehicle operating costs (VOK), and the value of travel time. The purpose of this study is to determine which model will be chosen by the user to travel and discusses the comparative analysis of travel time and cost of public transportation modes, namely Transjakarta and private cars. This research was conducted in DKI Jakarta, precisely in the Transjakarta corridor IX Pinang Ranti-Pluit. Measurement of travel time is done by riding each mode with the same route and time. Secondary data as calculation material was obtained from agencies related to this research. This study analyzes Vehicle Operational Costs (VOK) using the Pacific Consultants International (PCI) method. The results showed that during peak hours, the use of Transjakarta was more effective in terms of time because the travel time required was 11 minutes faster than in private vehicles. Then for the costs incurred, it is also more efficient to use Transjakarta at the cost of Rp. 3,500 per trip. Meanwhile, using a private vehicle of Rp. 14,784 per person with a passenger car capacity of 7 people. During the COVID-19 pandemic, there was a provision for a passenger car capacity limit of 4 people. So the cost of using a private vehicle per person can reach Rp. 25,871.ABSTRAKPemilihan penggunaan moda transportasi untuk melakukan perjalanan dari asal ke tujuan dipengaruhi oleh berbagai macam faktor. Faktor yang diperhatikan antara lain waktu tempuh, Biaya Operasional Kendaraan (BOK) dan nilai waktu perjalanan. Untuk memperkirakan mode apa yang akan dipilih oleh masyarakat untuk bepergian, penelitian ini membahas tentang analisis perbandingan waktu tempuh dan biaya moda transportasi umum yaitu transjakarta dan mobil pribadi.  Penelitian ini berlokasi di provinsi DKI Jakarta tepatnya pada koridor IX transjakarta Pinang Ranti-Pluit. Pengukuran waktu perjalanan dilakukan dengan cara menaiki masing-masing moda dengan rute dan waktu yang sama. Data sekunder sebagai bahan perhitungan, diperoleh dari instansi yang terkait dengan penelitian ini. Analisis Biaya Operasional Kendaraan (BOK) dalam penelitian ini menggunakan Metode Pacific Consultants International (PCI) Hasil penelitian menunjukkan bahwa pada jam sibuk penggunaan Transjakarta lebih efektif secara waktu karena waktu tempuh yang diperlukan lebih cepat 11 menit dibandingkan dengan kendaraan pribadi. Kemudian untuk biaya yang dikeluarkan juga lebih efisien menggunakan Transjakarta dengan biaya sebesar Rp 3.500 sekali perjalanan. Sedangkan jika dibandingkan dengan menggunakan kendaraan pribadi sebesar Rp 14.784 perorang dengan kapasitas mobil penumpang sebanyak 7 orang. Pada masa pandemic covid-19, terdapat ketentuan batas kapasitas mobil penumpang sebanyak 4 orang. Sehingga biaya menggunakan kendaraan pribadi perorangnya dapat mencapai Rp. 25.871.

scholarly journals A Choice Too Far: Transit Difficulty and Early High School Transfer

2020 ◽  
pp. 0013189X2094950 ◽  
Author(s):  
Marc L. Stein ◽  
Julia Burdick-Will ◽  
Jeffrey Grigg
Keyword(s):  
High School ◽  
Travel Time ◽  
Administrative Data ◽  
Public Transportation ◽  
School System ◽  
Ninth Grade ◽  
Public School System ◽  
Baltimore City ◽  
School Transfer ◽  
The Relationship

The challenge of a long and difficult commute to school each day is likely to wear on students, leading some to change schools. We used administrative data from approximately 3,900 students in the Baltimore City Public School System in 2014–2015 to estimate the relationship between travel time on public transportation and school transfer during the ninth grade. We show that students who have relatively more difficult commutes are more likely to transfer than peers in the same school with less difficult commutes. Moreover, we found that when these students change schools, their newly enrolled school is substantially closer to home, requires fewer vehicle transfers, and is less likely to have been included among their initial set of school choices.

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