scholarly journals The Theory of Dynamic Public Transit Priority with Dynamic Stochastic Park and Ride

2014 ◽  
Vol 2014 ◽  
pp. 1-7
Author(s):  
Chengming Zhu ◽  
Yanyan Chen ◽  
Changxi Ma
Keyword(s):  
Traffic Congestion ◽  
Questionnaire Survey ◽  
Public Transit ◽  
Travel Cost ◽  
Park And Ride ◽  
Dynamic Stochastic ◽  
Traffic Organization

Public transit priority is very important for relieving traffic congestion. The connotation of dynamic public transit priority and dynamic stochastic park and ride is presented. Based on the point that the travel cost of public transit is not higher than the travel cost of car, how to determine the level of dynamic public transit priority is discussed. The traffic organization method of dynamic public transit priority is introduced. For dynamic stochastic park and ride, layout principle, scale, and charging standard are discussed. Traveler acceptability is high through the analysis of questionnaire survey. Dynamic public transit priority with dynamic stochastic park and ride has application feasibility.

Transit Planning Optimization Under Ride-Hailing Competition and Traffic Congestion

2021 ◽  
Author(s):  
Keji Wei ◽  
Vikrant Vaze ◽  
Alexandre Jacquillat
Keyword(s):  
New York ◽  
Traffic Congestion ◽  
Service Providers ◽  
Public Transit ◽  
Mixed Integer ◽  
Nonlinear Program ◽  
Transit Planning ◽  
Planning Optimization ◽  
Transit Ridership ◽  
Transit Agencies

With the soaring popularity of ride-hailing, the interdependence between transit ridership, ride-hailing ridership, and urban congestion motivates the following question: can public transit and ride-hailing coexist and thrive in a way that enhances the urban transportation ecosystem as a whole? To answer this question, we develop a mathematical and computational framework that optimizes transit schedules while explicitly accounting for their impacts on road congestion and passengers’ mode choice between transit and ride-hailing. The problem is formulated as a mixed integer nonlinear program and solved using a bilevel decomposition algorithm. Based on computational case study experiments in New York City, our optimized transit schedules consistently lead to 0.4%–3% system-wide cost reduction. This amounts to rush-hour savings of millions of dollars per day while simultaneously reducing the costs to passengers and transportation service providers. These benefits are driven by a better alignment of available transportation options with passengers’ preferences—by redistributing public transit resources to where they provide the strongest societal benefits. These results are robust to underlying assumptions about passenger demand, transit level of service, the dynamics of ride-hailing operations, and transit fare structures. Ultimately, by explicitly accounting for ride-hailing competition, passenger preferences, and traffic congestion, transit agencies can develop schedules that lower costs for passengers, operators, and the system as a whole: a rare win–win–win outcome.

The Role of Mass Transport for Sustainable Public Transit in Developing Cities

2018 ◽  
pp. 416-442
Author(s):  
Belew Dagnew Bogale
Keyword(s):  
Public Transport ◽  
Traffic Congestion ◽  
Traffic Management ◽  
Public Transit ◽  
Addis Ababa ◽  
Sustainable Transportation ◽  
The Public ◽  
Developing Cities ◽  
Recent Project ◽  
Transit Performance

The need for an efficient public mass transportation system in the context of developing countries can well be overemphasized since a majority of the urban population continues to be either captive walkers or users of the public transport facility. In Addis Ababa, inadequacy of public transit and improper traffic management issues are dominant problems. Evidence indicates that solutions related to traffic congestion and accidents are still left behind the city. However, it is expected that the recent project interventions and initiatives will enhance the capability of the public transit to deliver effective and sustainable transportation. This chapter evaluates the public transit performance, the initiatives towards terminals, and the future models for implementation. It concludes that an integrated public mass transit system is vital to a sustainable future public transport in developing cities in general and in Addis Ababa in particular. Recommendations are forwarded in the chapter.

scholarly journals Public transit network planning in small cites considering safety and convenience

2020 ◽  
Vol 12 (1) ◽  
pp. 168781402090235 ◽  
Author(s):  
Changxi Ma ◽  
Dong Yang
Keyword(s):  
Traffic Congestion ◽  
Public Transit ◽  
Network Planning ◽  
Optimization Method ◽  
Transit Oriented Development ◽  
Transit Planning ◽  
Transit Network ◽  
The Public ◽  
Traffic Generation ◽  
Interval Value

Scientific and rational public transit network planning, not only can effectively alleviate city traffic congestion, but also can reduce the risk of accidents. First, based on the data of residents’ travel survey, this article employs the multiple regression method to forecast the traffic generation and adopts the double-constrained gravity model to forecast the residents’ travel distribution of small cites. Second, by aiming at public transit planning objectives, the unsafe roads for public transit are screened, and the public transit trip-mode sharing rate is set as the interval value. According to the interval value, the public transit trip-mode sharing rate is divided into three cases, and the three alternatives of public transit network are calculated based on the network optimization method and the public transit-oriented development model. Next, the alternatives are evaluated by the set pair analysis method, and the optimal scheme is selected. Finally, this article takes the public transit network planning of Huaiyuan County in Anhui Province as an example, and the results show the proposed method is feasible.

scholarly journals A Traffic Restriction Scheme for Enhancing Carpooling

2017 ◽  
Vol 2017 ◽  
pp. 1-9 ◽  
Author(s):  
Dong Ding ◽  
Bin Shuai
Keyword(s):  
Genetic Algorithm ◽  
Traffic Congestion ◽  
Route Choice ◽  
Travel Cost ◽  
User Equilibrium ◽  
Bilevel Program ◽  
Traffic System ◽  
Factors Influencing ◽  
Simple Network

For the purpose of alleviating traffic congestion, this paper proposes a scheme to encourage travelers to carpool by traffic restriction. By a variational inequity we describe travelers’ mode (solo driving and carpooling) and route choice under user equilibrium principle in the context of fixed demand and detect the performance of a simple network with various restriction links, restriction proportions, and carpooling costs. Then the optimal traffic restriction scheme aiming at minimal total travel cost is designed through a bilevel program and applied to a Sioux Fall network example with genetic algorithm. According to various requirements, optimal restriction regions and proportions for restricted automobiles are captured. From the results it is found that traffic restriction scheme is possible to enhance carpooling and alleviate congestion. However, higher carpooling demand is not always helpful to the whole network. The topology of network, OD demand, and carpooling cost are included in the factors influencing the performance of the traffic system.

Research on Mechanical Mechanics with Optimization and Upgrading of Public Bicycle System Based on "Wuhan" Mode

2014 ◽  
Vol 908 ◽  
pp. 260-263
Author(s):  
Jia Ying Wang ◽  
Ti Wen Lu ◽  
Ming Tu
Keyword(s):  
Quantitative Analysis ◽  
Traffic Congestion ◽  
Questionnaire Survey ◽  
Vehicle Emissions ◽  
Qualitative And Quantitative Analysis ◽  
Building Site ◽  
Qualitative And Quantitative ◽  
Site Model ◽  
Mechanics Analysis ◽  
Optimization And Upgrading

Wuhan is the first city in China to establish a free public bicycle system. This paper gives qualitative and quantitative analysis of public bicycle system impact on the residents via questionnaire survey. By building site model, the rationality of bicycle site setting is discussed. Based on analysis, the paper offer some proposals combined with "Wuhan mode" feature as to achieve the significantly improvement of Wuhan public bicycle usage, change the current situation in Wuhan traffic congestion and reduce vehicle emissions of harmful gases. By mechanical mechanics analysis, ensure the reliability of bicycle mechanics column.

Study on Park and Ride Locating Based on Transportation Demand Management

2014 ◽  
Vol 1030-1032 ◽  
pp. 2254-2259
Author(s):  
Jin De Cai ◽  
Ke Zhang
Keyword(s):  
Traffic Congestion ◽  
Transportation Network ◽  
Demand Management ◽  
Urban Transportation ◽  
Urban Traffic ◽  
Transportation Costs ◽  
Construction Costs ◽  
Transportation Management ◽  
Transportation Demand ◽  
Park And Ride

With the increasingly serious problem of urban traffic congestion, more attention is focused on the Park and Ride (P&R) schemes based on urban transportation demand (TDM) management. The P&R locating research, as an important part of the scheme, plays an important role to strengthen the transportation management. On the basis of identifying all the potential P&R locations, and from the macroscopic perspective of urban transportation network, this paper establishes a model of P&R locating in order to minimize their construction costs as well as the total transportation costs. Example analysis is finally carried out with the help of Lingo software, thus testifying the validity of this research.

A Review on the Factors Influencing the Park-and-Ride Traffic Management Method

2014 ◽  
Vol 567 ◽  
pp. 663-668 ◽  
Author(s):  
Irfan Ahmed Memon ◽  
Napiah Madzlan ◽  
Mir Aftab Hussain Talpur ◽  
Muhammad Rehan Hakro ◽  
Imtiaz Ahmed Chandio
Keyword(s):  
Traffic Congestion ◽  
Urban Areas ◽  
Traffic Management ◽  
Demand Management ◽  
Service Research ◽  
Policy Makers ◽  
Park And Ride ◽  
Support Policy ◽  
Management Method ◽  
The City

Park-and-ride is a traffic management method of traffic congestion problem in urban areas. As an extent of total demand management, park-and-ride service (P&R service) has broadly implemented in many countries. P&R service has proven to be progressive in alleviating traffic congestion despite of complication in finding parking spaces in the city centers. The objective of this research is to discuss a model to shift car travelers’ to park-and-ride service (P&R service) and to investigate the factors which influence car travelers’ behavior. This study can support policy makers’ with useful information for future planning and development of park-and-ride service. Research outcomes will support policy-making and provide base for future study on modal choice behavior model for park-and-ride service.

Intersection and Passageway Designs of Urban Agglomeration Connection Road

2013 ◽  
Vol 361-363 ◽  
pp. 2330-2338
Author(s):  
Yu Ming Zhou ◽  
Jin Liang Xu ◽  
Hong Zhi Yang ◽  
Yue Jie Han ◽  
Fang Li
Keyword(s):  
Traffic Congestion ◽  
Queue Length ◽  
Pearl River Delta ◽  
Organization Design ◽  
Urban Agglomeration ◽  
Running Speed ◽  
Left Turn ◽  
Traffic Characteristics ◽  
Function Design ◽  
Traffic Organization

To study the design rationality of intersection and gateways, reduce traffic congestion and accidents, based on the function design conception,this paper took connected roads in Pearl River Delta urban agglomeration as research object, combined theoretical analysis and VISSIM simulations, analyzed the traffic characteristics, reasonable forms, traffic organization design methods in the intersections, as well as the locations and reasonable intervals of passageways. The results show that: length of left-turn lanes on city agglomeration connection roads can be 40m to100m, while the length of right-turn lanes for acceleration or deceleration can be 40m~60m. When the distance between two gateways ranges is 800m~900m, the running speed will increase obviously and the longest queue length will decrease remarkably; But when it is over 900m, the variation of running speed and queue length will change to be smaller.So the distance recommended value is 900m-1200m.

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