scholarly journals Research on the Multiroute Probit-Based Public Transit Assignment Model Based on Bus Stop

2012 ◽  
Vol 2012 ◽  
pp. 1-11 ◽  
Author(s):  
Zhenyu Mei ◽  
Dianhai Wang ◽  
Fujian Wang ◽  
Jun Chen ◽  
Wei Wang
Keyword(s):  
Road Network ◽  
Road Traffic ◽  
Public Transit ◽  
Transit Assignment ◽  
Transit Network ◽  
Assignment Model ◽  
Trip Time ◽  
Resistance Function ◽  
Assignment Models ◽  
The Relationship

A public transit network differs from a general road network. The passenger flow of bus stops and the limited capacity of buses have a greater effect than road traffic flow on the running time of buses. As a result, conventional public transit assignment models that adopt the econometric road network path concept have numerous limitations. Based on the analysis, the generalized bus trip time chain is analyzed, and the concept of a congestion function is proposed to describe the relationship between trip resistance and flow in the current paper. On the premise of this study, the transit network resistance function is formed and the multiroute probit-based loading model is established. With using STOCH or Dial's algorithm, the process of distribution is proposed. Finally, the model is applied to the transit network assignment of Deqing Town in Zhejiang Province. The result indicates that the model can be applied to practical operations with high-precision results.

Modelling Urban Public Transit Users' Route Choice Behaviour

2011 ◽  
pp. 134-146
Author(s):  
Yulin Lee ◽  
Jonathan Bunker ◽  
Luis Ferreira
Keyword(s):  
Public Transport ◽  
Public Transit ◽  
Route Choice ◽  
User Equilibrium ◽  
Urban Transport ◽  
Transit Assignment ◽  
The Road ◽  
Transit Route ◽  
The 1960S ◽  
Assignment Models

Public transport is one of the key promoters of sustainable urban transport. To encourage and increase public transport patronage it is important to investigate the route choice behaviours of urban public transit users. This chapter reviews the main developments of modelling urban public transit users’ route choice behaviours in a historical perspective, from the 1960s to the present time. The approaches reviewed for this study include the early heuristic studies on finding the least-cost transit route and all-or-nothing transit assignment, the bus common lines problem, the disaggregate discrete choice models, the deterministic and stochastic user equilibrium transit assignment models, and the recent dynamic transit assignment models. This chapter also provides an outlook for the future directions of modelling transit users’ route choice behaviours. Through the comparison with the development of models for motorists’ route choice and traffic assignment problems, this chapter advocates that transit route choice research should draw inspiration from the research outcomes from the road area, and that the modelling practice of transit users’ route choice should further explore the behavioural complexities.

Integrated simulation-based dynamic traffic and transit assignment model for large-scale network

2020 ◽  
Vol 47 (8) ◽  
pp. 898-907 ◽  
Author(s):  
Islam Kamel ◽  
Amer Shalaby ◽  
Baher Abdulhai
Keyword(s):  
Large Scale ◽  
Traffic Assignment ◽  
Dynamic Traffic ◽  
Transit Assignment ◽  
Large Scale Network ◽  
Assignment Model ◽  
Morning Peak ◽  
Simulation Based ◽  
Scale Network ◽  
Assignment Models

Although the traffic and transit assignment processes are intertwined, the interactions between them are usually ignored in practice, especially for large-scale networks. In this paper, we build a simulation-based traffic and transit assignment model that preserves the interactions between the two assignment processes for the large-scale network of the Greater Toronto Area during the morning peak. This traffic assignment model is dynamic, user-equilibrium seeking, and includes surface transit routes. It utilizes the congested travel times, determined by the dynamic traffic assignment, rather than using predefined timetables. Unlike the static transit assignment models, the proposed transit model distinguishes between different intervals within the morning peak by using the accurate demand, transit schedule, and time-based road level-of-service. The traffic and transit assignment models are calibrated against actual field observations. The resulting dynamic model is suitable for testing different demand management strategies that impose dynamic changes on multiple modes simultaneously.

scholarly journals Learning and Adaptation in Dynamic Transit Assignment Models for Congested Networks

2020 ◽  
Vol 2674 (1) ◽  
pp. 113-124 ◽  
Author(s):  
Oded Cats ◽  
Jens West
Keyword(s):  
Information Provision ◽  
Agent Based Simulation ◽  
Transit Assignment ◽  
Agent Based ◽  
Transit Network ◽  
Passenger Demand ◽  
Congested Networks ◽  
Learning And Adaptation ◽  
Assignment Models ◽  
Different Levels

The distribution of passenger demand over the transit network is forecasted using transit assignment models which conventionally assume that passenger loads satisfy network equilibrium conditions. The approach taken in this study is to model transit path choice as a within-day dynamic process influenced by network state variation and real-time information. The iterative network loading process leading to steady-state conditions is performed by means of day-to-day learning implemented in an agent-based simulation model. We explicitly account for adaptation and learning in relation to service uncertainty, on-board crowding and information provision in the context of congested transit networks. This study thus combines the underlying assignment principles that govern transit assignment models and the disaggregate demand modeling enabled by agent-based simulation modeling. The model is applied to a toy network for illustration purposes, followed by a demonstration for the rapid transit network of Stockholm, Sweden. A full-scale application of the proposed model shows the day-to-day travel time and crowding development for different levels of network saturation and when deploying different levels of information availability.

scholarly journals Important risk factors for road accidents

2021 ◽  
Vol 264 ◽  
pp. 02025
Author(s):  
Dilshod Imamaliev ◽  
Aslidin Urakov ◽  
Muzrob Darabov ◽  
Ruzigul Sayfutdinova
Keyword(s):  
Road Safety ◽  
Road Network ◽  
Road Traffic ◽  
The State ◽  
Special Importance ◽  
Road Accidents ◽  
The Road ◽  
Road Users ◽  
The Republic ◽  
The Relationship

This article analyzes the relationship and influence of factors such as the population, the level of motorization, economic development, and the state of the state road network on the state of the risk of road accidents, including the level of mortality and road injuries, as well as the relevance of improving methods for assessing, managing and predicting the risk of accidents in road traffic. National indicators of the level of road deaths and injuries in different countries were studied. The relationship between road accidents and the level of motorization, income of the population, the state of the road network, and other indicators were revealed. The urgency of the problem of road accidents and the organization of measures to reduce the level of road accidents is emphasized. It also takes into account the special importance of forming conceptually new approaches to the task of improving the efficiency of public administration in the field of organization and maintenance of road traffic through the implementation of the Concept of Road Safety in the Republic of Uzbekistan for the period 2018-2022, which includes the following main directions: further improvement of the regulatory framework in the field of road safety, including significant strengthening of responsibility for gross violations of traffic rules; comprehensive improvement of road infrastructure, improving the quality of roads, creating reliable conditions for the safe movement of vehicles; improving the legal culture, the necessary knowledge, and skills of road users, strengthening their discipline.

scholarly journals A Capacity-Restraint Transit Assignment Model When a Predetermination Method Indicates the Invalidity of Time Independence

2015 ◽  
Vol 2015 ◽  
pp. 1-12
Author(s):  
Haoyang Ding ◽  
Yu Bao ◽  
Sida Luo ◽  
Hanxia Shen ◽  
Wei Wang ◽  
...  
Keyword(s):  
Engineering Practice ◽  
Transit Assignment ◽  
Urban Transit ◽  
Simple Method ◽  
Assignment Method ◽  
Assignment Model ◽  
Traditional Research ◽  
Nanjing City ◽  
Assignment Models

The statistical independence of time of every two adjacent bus links plays a crucial role in deciding the feasibility of using many mathematical models to analyze urban transit networks. Traditional research generally ignores the time independence that acts as the ground of their models. Assumption is usually made that time independence of every two adjacent links is sound. This is, however, actually groundless and probably causes problematic conclusions reached by corresponding models. Many transit assignment models such as multinomial probit-based models lose their effects when the time independence is not valid. In this paper, a simple method to predetermine the time independence is proposed. Based on the predetermination method, a modified capacity-restraint transit assignment method aimed at engineering practice is put forward and tested through a small contrived network and a case study in Nanjing city, China, respectively. It is found that the slope of regression equation between the mean and standard deviation of normal distribution acts as the indicator of time independence at the same time. Besides, our modified assignment method performs better than the traditional one with more reasonable results while keeping the property of simplicity well.

Passenger Route Choice Behavior with Congestion Consideration

2013 ◽  
Vol 368-370 ◽  
pp. 1876-1880 ◽  
Author(s):  
Ying Zeng ◽  
Jun Li ◽  
Hui Zhu
Keyword(s):  
Choice Behavior ◽  
Route Choice ◽  
Transit Assignment ◽  
Transit System ◽  
Transit Network ◽  
Route Choice Behavior ◽  
Assignment Model ◽  
Proposed Model ◽  
Vehicle Capacity

Few studies have adequately focused on passenger route choice behavior with congestion consideration, or provided useful guidance on passenger route choice and hence the transit assignment model, which is the writing motivation of this paper. With congestion consideration, travel cost is assessed and and ways to reduce it also identified. Finally, an actual transit network of Chengdu is used as a case study to demonstrate the benefits of the proposed model. The result indicates that the vehicle capacity is an important factor that cant be ignored and a better understanding of passenger route behavior could significantly benefit public transit system.

Simulation Tool for Assignment Models: SIMASI

2014 ◽  
Vol 13 (8) ◽  
pp. 4723-4728
Author(s):  
Pratiksha Saxena ◽  
Smt. Anjali
Keyword(s):  
Optimization Procedure ◽  
Simulation Tool ◽  
Optimization Strategy ◽  
Performance Measurements ◽  
Integrated Simulation ◽  
Assignment Model ◽  
Classical Models ◽  
Simulation Results ◽  
User Friendly ◽  
Assignment Models

In this paper, an integrated simulation optimization model for the assignment problems is developed. An effective algorithm is developed to evaluate and analyze the back-end stored simulation results. This paper proposes simulation tool SIMASI (Simulation of assignment models) to simulate assignment models. SIMASI is a tool which simulates and computes the results of different assignment models. This tool is programmed in DOT.NET and is based on analytical approach to guide optimization strategy. Objective of this paper is to provide a user friendly simulation tool which gives optimized assignment model results. Simulation is carried out by providing the required values of matrix for resource and destination requirements and result is stored in the database for further comparison and study. Result is obtained in terms of the performance measurements of classical models of assignment system. This simulation tool is interfaced with an optimization procedure based on classical models of assignment system. The simulation results are obtained and analyzed rigorously with the help of numerical examples. 

scholarly journals Urban access across the globe: an international comparison of different transport modes

2021 ◽  
Vol 1 (1) ◽  
Author(s):  
Hao Wu ◽  
Paolo Avner ◽  
Genevieve Boisjoly ◽  
Carlos K. V. Braga ◽  
Ahmed El-Geneidy ◽  
...  
Keyword(s):  
Land Use ◽  
Road Network ◽  
Urban Economics ◽  
Metropolitan Areas ◽  
Transport Infrastructure ◽  
Compact Development ◽  
Unit Of Measurement ◽  
In Transit ◽  
The Relationship ◽  
American Cities

AbstractAccess (the ease of reaching valued destinations) is underpinned by land use and transport infrastructure. The importance of access in transport, sustainability, and urban economics is increasingly recognized. In particular, access provides a universal unit of measurement to examine cities for the efficiency of transport and land-use systems. This paper examines the relationship between population-weighted access and metropolitan population in global metropolitan areas (cities) using 30-min cumulative access to jobs for 4 different modes of transport; 117 cities from 16 countries and 6 continents are included. Sprawling development with the intensive road network in American cities produces modest automobile access relative to their sizes, but American cities lag behind globally in transit and walking access; Australian and Canadian cities have lower automobile access, but better transit access than American cities; combining compact development with an intensive network produces the highest access in Chinese and European cities for their sizes. Hence density and mobility co-produce better access. This paper finds access to jobs increases with populations sublinearly, so doubling the metropolitan population results in less than double access to jobs. The relationship between population and access characterizes regions, countries, and cities, and significant similarities exist between cities from the same country.

Sign in / Sign up

Export Citation Format

Share Document