A Comprehensive Evaluation of Traffic Demand Management Adaptability on the Basis of Fuzzy Rough Entropy

Author(s):  
Ding Luo ◽  
Dajiang Wang ◽  
Qipeng Yan

Traffic demands on Jordanian streets have been affected by the increasing human population and the number of vehicles. This study aims to apply transportation demand management (TDM) techniques to improve the level of service (LOS). The study employs both TDM and transportation system management (TSM). In order to investigate what type of strategies to be considered a questionnaire is used. The acceptance degrees of the TDM and TSM groups were measured via the questionnaires using SPSS version 20. The selected policies then are used on a certain location as a study case in Amman city; an intersection is connecting two urban main streets. The used policies have a reduction percentage in traffic demands which is expected throughout an expert panel. The results show that delay and fuel consumption are indeed reduced; however, this does not lead to any considerable improvement in the LOS. The LOS was enhanced when the reduction in traffic demand reached 20% with an increase in capacity achieved by adding 3 new lanes. The fuel consumption and delays were measured to be about 35% less with growth rate of 8% for the coming five years. This study is expected to help popularize TDM policies in place of other solutions so that inexpensive measures can be adopted by the government.


2011 ◽  
Vol 97-98 ◽  
pp. 1032-1037
Author(s):  
Wei Kou ◽  
Lin Cheng

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.


2020 ◽  
Vol 12 (6) ◽  
pp. 2200
Author(s):  
Georgina Santos ◽  
Anna Hagan ◽  
Orla Lenehan

On the basis of 17 interviews with employers and 272 survey responses from employees, we explore the perceptions of a Workplace Parking Levy (WPL) in Cardiff, with the aim of understanding if a WPL would be an acceptable traffic demand management policy to tackle traffic congestion. We find that employers would not be very supportive of a WPL, whilst employees would, provided employers were to absorb the costs. Despite this support, the majority of those who drive to work would not be prepared to change mode. An important theme throughout the study was the perception of public transport and active travel provision in Cardiff being inadequate. Most study participants felt that investment in public transport and active travel is needed before a WPL is introduced. We conclude that, although a WPL would not be overwhelmingly acceptable to employers and employees, it would be more acceptable than congestion charging, and there is a possibility that acceptability could be increased with the help of feedback from a public consultation.


2014 ◽  
Vol 513-517 ◽  
pp. 3160-3164
Author(s):  
Xue Li Zhang

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.


2014 ◽  
Vol 962-965 ◽  
pp. 2607-2610
Author(s):  
Yang Jie Gan

With the rapid development of urbanization, the contradiction between traffic demand and traffic supply is becoming more and more prominent, leading to a series of traffic problems, which seriously hindered the urban development in the direction of green. This paper expounds the connotation of green transportation and set up an appropriate comprehensive evaluation index system. Then, analytic hierarchy process (AHP) and generalized function method are applied to evaluate green development in Changsha city traffic system, obtaining the degree of development on green transport.Finally, we analyze the problems existing in the current traffic and put forward the relevant suggestions for these problems.


2021 ◽  
Vol 10 (11) ◽  
pp. 789
Author(s):  
Jiandong Peng ◽  
Changwei Cui ◽  
Jiajie Qi ◽  
Zehan Ruan ◽  
Qi Dai ◽  
...  

The expansion of the rail transit network has a positive impact on travel characteristics under spatial and temporal constraints by changing accessibility. However, few empirical studies have examined the longitudinal evolution of the impact of accessibility and travel characteristics. In this paper, a model of the Wuhan rail transit network is constructed and the evolution of the spatial pattern of accessibility over different periods is analyzed. The correlation of accessibility with rail transit travel characteristics is studied longitudinally to provide theoretical support for rail transit construction and traffic demand management. The study shows that: (1) Wuhan’s rail transit network has evolved from a tree to a ring, improving the operational efficiency. (2) The accessibility of Wuhan’s rail transit network has evolved into a circular structure, showing a decreasing trend away from the city center. (3) The change of accessibility greatly affects travel characteristics. The higher the accessibility, the higher the traffic volume, and the lower the travel frequency, the more residents travel during peak hours, and the shorter the travel distance. These findings are useful for gaining insight into public transportation demand in large cities, and thus for developing reasonable transportation demand management policies.


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