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 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.

scholarly journals Analysis of Space-Time Variation of Passenger Flow and Commuting Characteristics of Residents Using Smart Card Data of Nanjing Metro

2019 ◽  
Vol 11 (18) ◽  
pp. 4989 ◽  
Author(s):  
Wei Yu ◽  
Hua Bai ◽  
Jun Chen ◽  
Xingchen Yan
Keyword(s):  
Intelligent Transportation Systems ◽  
Traffic Management ◽  
Rapid Development ◽  
Weather Conditions ◽  
Transportation Systems ◽  
Space Time ◽  
Smart Cards ◽  
The Sustainable Development ◽  
Passenger Flow ◽  
Challenges And Opportunities

The rapid development of cities has brought new challenges and opportunities to traditional traffic management. The usage of smart cards promotes the upgrading of intelligent transportation systems, and also produces considerable big data. As an important part of the urban comprehensive transportation system, Nanjing metro has more than 1 million inbound and outbound records of traffic smart cards used by residents every day. How to process these traffic data and present them visually is an urgent problem in modern traffic management. In this study, five working days with normal weather conditions in Nanjing were selected, and the swiping records of the smart cards were extracted, and the space–time characteristics were analyzed. In terms of time analysis, this research analyzed the 24-h fluctuation of daily average passenger flow, peak hour coefficient of passenger flow, 24-h fluctuation of passenger flow on different metro lines, passenger flow intensity on different metro lines and passenger flow comparison at different stations. In spatial analysis, this study uses thermodynamic charts to represent the inflow and outflow of passengers at different stations during early and evening peak periods. The analysis results and visualized images directly reflect the area where Nanjing metro congestion is located, and also shows the commuting characteristics of residents. It can solve the problem of urban congestion, carry out the rational layout of urban functional areas, and promote the sustainable development of people and cities.

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 Potential Passenger Flow Prediction: A Novel Study for Urban Transportation Development

2020 ◽  
Vol 34 (04) ◽  
pp. 4020-4027
Author(s):  
Yongshun Gong ◽  
Zhibin Li ◽  
Jian Zhang ◽  
Wei Liu ◽  
Jinfeng Yi
Keyword(s):  
Real World ◽  
Intelligent Transportation Systems ◽  
Domain Knowledge ◽  
Urban Transportation ◽  
Transportation Systems ◽  
Metro Station ◽  
Practical Applications ◽  
Passenger Flow ◽  
Flow Prediction ◽  
Transportation Development

Recently, practical applications for passenger flow prediction have brought many benefits to urban transportation development. With the development of urbanization, a real-world demand from transportation managers is to construct a new metro station in one city area that never planned before. Authorities are interested in the picture of the future volume of commuters before constructing a new station, and estimate how would it affect other areas. In this paper, this specific problem is termed as potential passenger flow (PPF) prediction, which is a novel and important study connected with urban computing and intelligent transportation systems. For example, an accurate PPF predictor can provide invaluable knowledge to designers, such as the advice of station scales and influences on other areas, etc. To address this problem, we propose a multi-view localized correlation learning method. The core idea of our strategy is to learn the passenger flow correlations between the target areas and their localized areas with adaptive-weight. To improve the prediction accuracy, other domain knowledge is involved via a multi-view learning process. We conduct intensive experiments to evaluate the effectiveness of our method with real-world official transportation datasets. The results demonstrate that our method can achieve excellent performance compared with other available baselines. Besides, our method can provide an effective solution to the cold-start problem in the recommender system as well, which proved by its outperformed experimental results.

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.

scholarly journals Big Data analysis: Intelligent Transportation Development Engine

2014 ◽  
Vol 1 (1) ◽  
pp. 11
Author(s):  
Qin Xiao
Keyword(s):  
Big Data ◽  
Intelligent Transportation Systems ◽  
Low Cost ◽  
Information Age ◽  
Large Data ◽  
Intelligent Transportation ◽  
Transportation Systems ◽  
Transportation Demand ◽  
Advantages And Disadvantages ◽  
Transportation Development

<p>With the development of the times, people have unwittingly entered the information age. The information age has become a large amount of data bursting characteristics of the new era. In this feature people still seek to improve the production and quality of life. For the development of intelligent transportation needs of people's lives and make the real world, but in the construction of intelligent transportation among a large number of information data also adds to its change and difficulty, how to build an intelligent era of big data, security, low-cost, efficient and convenient of intelligent transportation systems become today people study. From the era of big data to intelligent traffic changes brought advantages and disadvantages, the era of big data to bring intelligent traffic problems and challenges, as well as the integration platform for massive data intelligent transportation intelligent transportation demand and large data structures has done a simple elaborate, it can provide some suggestions for areas of research that scientists.</p>

scholarly journals Intelligent Traffic Management: A Review of Challenges, Solutions, and Future Perspectives

2021 ◽  
Vol 22 (2) ◽  
pp. 163-182
Author(s):  
Roopa Ravish ◽  
Shanta Ranga Swamy
Keyword(s):  
Travel Time ◽  
Intelligent Transportation Systems ◽  
Traffic Management ◽  
Transportation Systems ◽  
Travel Time Prediction ◽  
Novel Technologies ◽  
Related Data ◽  
Traffic Systems ◽  
And Control ◽  
Future Work

Abstract Recent years have witnessed a colossal increase of vehicles on the roads; unfortunately, the infrastructure of roads and traffic systems has not kept pace with this growth, resulting in inefficient traffic management. Owing to this imbalance, traffic jams on roads, congestions, and pollution have shown a marked increase. The management of growing traffic is a major issue across the world. Intelligent Transportation Systems (ITS) have a great potential in offering solutions to such issues by using novel technologies. In this review, the ITS-based solutions for traffic management and control have been categorized as traffic data collection solutions, traffic management solutions, congestion avoidance solutions, and travel time prediction solutions. The solutions have been presented along with their underlying technologies, advantages, and drawbacks. First, important solutions for collecting traffic-related data and road conditions are discussed. Next, ITS solutions for the effective management of traffic are presented. Third, key strategies based on machine learning and computational intelligence for avoiding congestion are outlined. Fourth, important solutions for accurately predicting travel time are presented. Finally, avenues for future work in these areas are discussed.

scholarly journals Optimalisasi Dan Pengembangan Transportasi Perkotaan Di Dki Jakarta

2010 ◽  
Vol 22 (10) ◽  
pp. 1064-1079
Author(s):  
Siti Maimunah ◽  
Atik S. Kuswati
Keyword(s):  
Demand Management ◽  
Urban Transportation ◽  
Development Strategies ◽  
Supply Management ◽  
Medium Term ◽  
Short Term ◽  
Network Infrastructure ◽  
Infrastructure Networks ◽  
Transportation Development

The purpose of this studtj is to identifiJ the various problems that caused bottlenecking marement ofpeople and vehicles in the Greater Jakarta area on the vertices of a strategic transport. By using themethod of transportation development strategtJ through the Transport Demand Management (IDM)and Transport Supply Management (TSM), each of which is prepared through the optimiZJltionapproadi and the development and amstruction of infrastructure networks and facilities is expectedto provide input in the formulation of development strategies in urban transportation major dties inIndonesia so that national transport polictj to get solutions that are comprehensive, sustai.nable andoriented in short term, medium term and long term. It also required the existence of network integrationservices and network infrastructure for delivery through the integration of route and schedule ofop?1'l1lion and arrangement of transportation fur the node to create a single F£amless service to serviceusers.Keywords: Urban Transportation, TDM, TSM

The Image Process Based on Intelligent Transportation System

2014 ◽  
Vol 945-949 ◽  
pp. 1789-1793 ◽  
Author(s):  
Wen Qian An ◽  
Xu Fang Bo ◽  
Chao Jia
Keyword(s):  
Automobile Industry ◽  
Intelligent Transportation Systems ◽  
Traffic Management ◽  
Intelligent Transportation System ◽  
Rapid Development ◽  
Intelligent Transportation ◽  
Gaussian Mixture ◽  
Transportation Systems ◽  
Background Model ◽  
Image Process

With the rapid development of China's automobile industry, intelligent transportation systems have become an important means of modern traffic management. The paper analyzes the prospects for detection of several sports: frame difference method, optical flow method and the background model, and compared the effects of several methods of detection, using a strong adaptability to disturbance Gaussian mixture background model to detect moving targets. Then the detected motion foreground image OTSU threshold, using morphological methods de-noising and holes filled, get a complete moving target. In this paper, the characteristics of the target shadow and existing methods are analyzed, using a shadow removal method based on color features.

Serviceability Based Park and Ride Choice Behaviors Influenced by Road Toll Policy for Metropolitan Commuting Corridors

2012 ◽  
Vol 178-181 ◽  
pp. 1891-1897
Author(s):  
Hui Zhao ◽  
Xue Dong Yan ◽  
Cui Ping Zhang ◽  
Mei Wu An
Keyword(s):  
Equilibrium Model ◽  
System Performance ◽  
Demand Management ◽  
Mass Transit ◽  
Transportation System ◽  
Transportation Systems ◽  
Modal Choice ◽  
Transportation Demand ◽  
Park And Ride ◽  
Different Types

Existing park and ride (P&R) facilities may enhance the serviceability of the transportation systems by redistributing travelers from vehicles mode to mass transit. As a tool in transportation demand management, road tolling policy will have an influence on the transportation system with P&R facilities. In this paper, impact of various road tolling policies on modal choice behaviors within context of commuting corridors with P&R services are investigated from the perspective of serviceability. The related road tolling schemes contains first-best toll, distance-based toll and cordon-based toll. The probability of commuters’ modal-choice is estimated using a stochastic equilibrium model. Innovatively, the serviceability concept is adopted to evaluate performances of different travel modes. Model results illustrate how transportation system performance is influenced by the different types of road tolling policies. Some of the results are concordant with empirical findings in the literature.

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