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.

Research on the Urban Transportation Development in Our Country Based on the Traffic Congestion Pricing

2011 ◽  
Vol 97-98 ◽  
pp. 1032-1037
Author(s):  
Wei Kou ◽  
Lin Cheng
Keyword(s):  
Traffic Congestion ◽  
Marginal Cost ◽  
Demand Management ◽  
Urban Transportation ◽  
Congestion Pricing ◽  
Developed Countries ◽  
Urban Traffic ◽  
Theory And Practice ◽  
Traffic Demand ◽  
Transportation Development

With the development and realization of industrialization and urbanization in the world, urban traffic volume grows rapidly; many big cities face more and more serious traffic problem. As a mean of traffic demand management, traffic congestion pricing has important significance in theory and practice. Traffic congestion pricing can counteract external diseconomy caused by network congestion, and the price of congestion is tantamount to the difference between social marginal cost and private marginal cost. This paper analyzes the economic theory of congestion pricing. Combined the effect of traffic congestion pricing that implemented in the developed countries, it researches the influence of urban transportation development in our country in the future based on the implementing congestion pricing.

scholarly journals Bicycle Usage in the Urban Transportation: Pristina Example

2019 ◽  
Vol 3 (1) ◽  
pp. 50
Author(s):  
Beni Kizolli ◽  
Seda Hatipoglu
Keyword(s):  
Public Transport ◽  
Demand Management ◽  
Urban Transportation ◽  
Field Research ◽  
Transportation Systems ◽  
Urban Traffic ◽  
Central Ring ◽  
Transportation Demand ◽  
Wide Road ◽  
Bicycle Lane

The aim of the research is to provide suggestions for increasing the use of bicycles, which are part of the modern transportation policies. The methodology in the research was developed according to the physical characteristics of the city center in Pristina and the new regulations of the Pristina Development Plan. In this context, in the questionnaires, the approach, demand and application possibilities of the passengers against the other transportation systems (except private vehicles) were evaluated. The field research questions were asked to get the thoughts of public transport passengers about these issues. The responses of 782 passengers that are directly or indirectly related with bicycle usage. As a result of these recommendations, Pristina will have two-way bicycle lanes with a length of 16 km to complete the cycling network. In this context, it was emphasized that the suggestions for the urban bicycle network in Pristina were evaluated in order of priority. Recommendations are given in accordance with the infrastructure of the route and it is expected that a regular transportation type will be provided to the urban transportation of Pristina by carrying out the arrangements on a 16 m wide road between the two sidewalks (platforms). In the new regulations, a two-way 4 km bike lane is proposed in the central ring of Pristina, as a result of the bicycle lanes that will form the bicycle network in Pristina to implement the bicycle public transport integration strategy in the future. Approximately 8.5 km two-way bicycle lane in central ring, 1.5 km two-way bicycle lane in the southwestern region and 2km bicycle lane in the southeastern region has been proposed for Pristina. Key words: Urban traffic, Transportation Demand Management, Bike Lane, Pristina.

Simulation-based optimization for urban transportation demand management strategy

SIMULATION ◽  
2018 ◽  
Vol 94 (7) ◽  
pp. 637-647 ◽  
Author(s):  
Baozhen Yao ◽  
Qianqian Yan ◽  
Qian Chen ◽  
Zhihui Tian ◽  
Xuefeng Zhu
Keyword(s):  
Traffic Congestion ◽  
Demand Management ◽  
Research Area ◽  
Urban Traffic ◽  
Transportation Demand Management ◽  
Transportation Demand ◽  
Assignment Model ◽  
Level Model ◽  
Upper Level ◽  
Scientific Decision

Transportation demand management (TDM) is one of the important methods for solving the problem of increasingly severe urban traffic congestion. This paper proposes a bi-level model to optimize urban TDM strategies based on simulation. The upper level is the TDM strategy optimization model, searching for the optimal TDM strategy. The lower level is a traffic assignment model based on the simulation, assigning traffic flow to multimodal transport networks according to the candidate TDM strategies. A heuristic algorithm is also defined and implemented to optimize TDM strategies. Based on VISSIM simulation, the optimization for TDM strategies proposed in this paper is validated with the research area of Harbor Square–San Ba Square–Er Qi Square in Dalian in China. The results show that the optimization of urban TDM strategies can effectively alleviate urban traffic congestion. It provides a scientific decision basis for urban TDM policy.

scholarly journals Sustainable urban transportation development in China: A behavioral perspective

2021 ◽  
Author(s):  
Shuai Ling ◽  
Shoufeng Ma ◽  
Ning Jia
Keyword(s):  
Traffic Management ◽  
Rapid Development ◽  
Demand Management ◽  
Urban Transportation ◽  
Transportation Systems ◽  
Transportation Demand ◽  
Special Cases ◽  
Traffic Systems ◽  
Four Levels ◽  
Transportation Development

AbstractThe rapid development of economics requires highly efficient and environment-friendly urban transportation systems. Such requirement presents challenges in sustainable urban transportation. The analysis and understanding of transportation-related behaviors provide one approach to dealing with complicated transportation activities. In this study, the management of traffic systems is divided into four levels with a structural and systematic perspective. Then, several special cases from the perspective of behavior, including purchasing behaviors toward new energy vehicles, choice behaviors toward green travel, and behavioral reactions toward transportation demand management policies, are investigated. Several management suggestions are proposed for transportation authorities to improve sustainable traffic management.

scholarly journals Traffic Congestion In Azadpur Mandi: A Study On The Largest Vegetables And Fruits Market Of Asia

2021 ◽  
Vol 14 (1) ◽  
pp. 122-131
Author(s):  
Raman Ekta ◽  
Anand Subhash ◽  
Suresh V. Madha ◽  
Sharma Poonam ◽  
Singh Anju ◽  
...  
Keyword(s):  
Traffic Congestion ◽  
Sustainable Development Goals ◽  
Transportation Network ◽  
Heavy Traffic ◽  
Urban Traffic ◽  
The Road ◽  
The People ◽  
Development Goals ◽  
Green Transportation ◽  
Vegetables And Fruits

India’s intended nationally determined contribution emission which is safe, smart and sustainable green transportation network. Azadpur Mandi which is known for the biggest selling place of fruits and vegetable in Delhi is becoming a place of very heavy traffic area zone. People who are living nearby and the people coming to Azadpur Mandi facing a lot of traffic and also because of no proper direction hinted there people are not able to reach their destination on time. This paper assesses urban traffic congestions and its impact on the daily life of stakeholders and also advocates some possible solutions. In this research found results the number of vehicles has increased in the last ten to fifteen years. The total number of categorised vehicle has also increased. Azadpur Mandi has impacted the land value of the surroundings. The road infrastructure is not sufficient to cater to the traffic volume of this area. The number of lanes in this area is less. This paper outlines the problems of traffic congestion in Asia’s largest sabji (Vegetable) Mandi by using statistical tools. There are very few parking lots inside and outside of the Mandi. This paper investigates the goal 11 of Sustainable Development Goals (SDGs). Goal 11 says to make cities safe, resilience, sustainable. According to the Delhi Traffic police, Azadpur is one of the most accident-prone hotspots of Delhi.

scholarly journals Regional Logistics Network Design in Mitigating Truck Flow-Caused Congestion Problems

2020 ◽  
Vol 2020 ◽  
pp. 1-12
Author(s):  
Mi Gan ◽  
Xinyuan Li ◽  
Fadong Zhang ◽  
Zhenggang He
Keyword(s):  
Network Design ◽  
Traffic Congestion ◽  
Design Problem ◽  
Transportation Network ◽  
Optimal Solution ◽  
Service Level ◽  
Initial Distribution ◽  
Urban Traffic ◽  
Logistics Network ◽  
Regional Logistics

Truck flow plays a vital role in urban traffic congestion and has a significant influence on cities. In this study, we develop a novel model for solving regional logistics network (RLN) design problems considering the traffic status of the background transportation network. The models determine not only the facility location, initial distribution planning, roadway construction, and expansion decisions but also offer an optimal solution to the logistics network service level and truck-type selections. We first analyze the relationship between the urban transportation network and the RLN design problem using real truck data and traffic flow status in a typical city. Then, we develop the uncover degree function (UDF), which reflects the service degree of the RLN and formulates based on an impedance function. Subsequently, the integrated logistics network design models are proposed. We model the RLN design problem as a minimal cost problem and design double-layer Lagrangian relaxation heuristics algorithms to solve the model problems. Through experiments with data from the six-node problem and Sioux-Falls network, the effectiveness of the models and algorithms is verified. This study contributes to the planning of regional logistics networks while mitigating traffic congestion caused by truck flow.

Path Reconstruction of Intelligent Traffic Based on Positive Feedback System

2014 ◽  
Vol 513-517 ◽  
pp. 3160-3164
Author(s):  
Xue Li Zhang
Keyword(s):  
Traffic Flow ◽  
Traffic Congestion ◽  
Intelligent Systems ◽  
Supply And Demand ◽  
Demand Management ◽  
Reference Value ◽  
Feedback System ◽  
Urban Traffic ◽  
Urban Transport ◽  
Traffic Demand

Traffic congestion are prevalent in worldwide cities. The imbalance between demand and supply of urban traffic is the root cause of this problem. So taking effective measures to regulate traffic demand, and guiding the traffic problems of the supply and demand balance is the best way to solve traffic congestion. This paper improves the TDM measure, and combines with intelligent information platform for the design of a new urban transport demand management adaptability of dynamic traffic data analysis platform. The platform supported by the technology of wireless sensor communications, intelligent terminals, the Internet and cloud computing is facing with the dynamic needs of traffic flow and traffic congestion state to carry out the operations of spatiotemporal data mining, clustering, and track detection, and to apply it into the traffic hot spots, abnormal driving track, traffic congestion trends and traffic flow detection and analysis, which has a good reference value for the improvement of management and service level of traffic intelligent systems.

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.

scholarly journals Research on Congestion Pricing in Multimode Traffic considering Delay and Emission

2015 ◽  
Vol 2015 ◽  
pp. 1-9 ◽  
Author(s):  
Hongna Dai ◽  
Enjian Yao ◽  
Rui Zhao
Keyword(s):  
Bilevel Programming ◽  
Traffic Congestion ◽  
Transportation Network ◽  
Rapid Development ◽  
Congestion Pricing ◽  
Urban Traffic ◽  
Pricing Model ◽  
Network Efficiency ◽  
Traffic Demand ◽  
Model Based

Rapid development of urbanization and automation has resulted in serious urban traffic congestion and air pollution problems in many Chinese cities recently. As a traffic demand management strategy, congestion pricing is acknowledged to be effective in alleviating the traffic congestion and improving the efficiency of traffic system. This paper proposes an urban traffic congestion pricing model based on the consideration of transportation network efficiency and environment effects. First, the congestion pricing problem under multimode (i.e., car mode and bus mode) urban traffic network condition is investigated. Second, a traffic congestion pricing model based on bilevel programming is formulated for a dual-mode urban transportation network, in which the delay and emission of vehicles are considered. Third, an improved mathematical algorithm combining successive average method with the genetic algorithm is proposed to solve the bilevel programming problem. Finally, a numerical experiment based on a hypothetical network is performed to validate the proposed congestion pricing model and algorithm.

scholarly journals Application of Internet of Things Compressed Sensing and Information Interaction Technology in Intelligent Transportation Layout

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Na Li ◽  
Ze Wu ◽  
Zhongbiao Zhao
Keyword(s):  
Internet Of Things ◽  
Compressed Sensing ◽  
Data Acquisition ◽  
Traffic Congestion ◽  
Transportation Network ◽  
Reconstruction Algorithm ◽  
Intelligent Transportation ◽  
Urban Traffic ◽  
Continuous Development ◽  
Information Interaction

With the continuous development of economy, the number of motor vehicles has increased sharply, and urban traffic congestion has become more and more frequent. Urban traffic congestion has become one of the important reasons that hinder the continuous development of major cities. In order to better solve the problem of urban traffic congestion, it is more urgent to build urban intelligent transportation system. The technology related to Internet of things is becoming more and more mature, which has become a new idea of collecting traffic information, providing convenience for traffic, and injecting vitality into the study of intelligent transportation layout. The traffic system in the city or the main traffic intersection, through the traffic guidance layout road, provides the traffic instruction for the passenger on the highway network, enables the driver to choose the suitable driving road, can provide the travel guidance service for the driver, adjusts the flow distribution, and improves the traffic condition. This paper describes the research status of intelligent transportation layout and uses the basic theory of compressed sensing and information interaction technology to carry out data fusion and reconstruction algorithm in intelligent transportation. Finally, the application of compressed sensing in intelligent transportation layout is summarized to realize data collection in intelligent transportation network. In this paper, compressed sensing theory is applied to the data acquisition of intelligent transportation network to reduce the amount of data and improve the effective data acquisition. The reconstruction algorithm is used to realize the data reconstruction to ensure the accuracy and stability of signal reconstruction and the accuracy of network transmission information.

Sign in / Sign up

Export Citation Format

Share Document