scholarly journals Traffic congestion pricing via network congestion game approach

2018 ◽  
Vol 0 (0) ◽  
pp. 0-0
Author(s):  
Jing Zhang ◽  
◽  
Jianquan Lu ◽  
Jinde Cao ◽  
Wei Huang ◽  
...  
Keyword(s):  
Traffic Congestion ◽  
Congestion Pricing ◽  
Network Congestion ◽  
Congestion Game

scholarly journals The Effect of Congestion Pricing Scheme on the Generalized Cost and Speed of a Motorcycle

2016 ◽  
Vol 15 (1) ◽  
pp. 95-106
Author(s):  
Gito SUGIYANTO
Keyword(s):  
Traffic Congestion ◽  
Demand Management ◽  
Congestion Pricing ◽  
Flow Speed ◽  
Free Flow ◽  
Vehicle Speed ◽  
Traffic Jams ◽  
Pricing Scheme ◽  
Free Flow Speed ◽  
Generalized Cost

Traffic congestion is one of the significant transport problems in many cities in developing countries. Increased economic growth and motorization have created more traffic congestion. The application of transportation demand management like congestion pricing can reduce congestion, pollution and increase road safety. The aim of this research is to estimate the congestion pricing of motorcycles and the effect of a congestion pricing scheme on the generalized cost and speed of a motorcycle. The amount of congestion pricing is the difference between actual generalized cost in traffic jams and in free-flow speed conditions. The analysis approach using 3 components of generalized costs of motorcycle: vehicle operating, travel time and externality cost (pollution cost). The approach to analyze the pollution cost is marginal-health cost and fuel consumption in traffic jams and free-flow speed conditions. The value of time based on Gross Regional Domestic Product per capita in Yogyakarta City in October 2012. The simulation to estimate the effect of congestion pricing using Equilibre Multimodal, Multimodal Equilibrium-2 (EMME-2) software. The results of this study show that while the free-flow speed of a motorcycle to the city of Yogyakarta is 42.42 km/h, with corresponding generalized cost of IDR1098 per trip, the actual speed in traffic jams is 10.77 km/h producing a generalized cost of IDR2767 per trip, giving a congestion pricing for a motorcycle of IDR1669 per trip. Based on the simulation by using EMME-2, the effect of congestion pricing will increase on vehicle speed by 0.72 to 8.11 %. The highest increase of vehicle speed occurred in Malioboro Street at 2.26 km/h, while the largest decrease occurred in Mayor Suryotomo Street at north-south direction at 1.07 km/h. Another effect of this application for motorcycles users will decrease the generalized cost by 1.09 to 6.63 %.

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.

Bay Bridge Congestion-Pricing Project: Lessons Learned to Date

1996 ◽  
Vol 1558 (1) ◽  
pp. 29-38
Author(s):  
Karen T. Frick ◽  
Steve Heminger ◽  
Hank Dittmar
Keyword(s):  
San Francisco ◽  
Traffic Congestion ◽  
Task Force ◽  
Supply And Demand ◽  
Congestion Pricing ◽  
Business Environment ◽  
Lessons Learned ◽  
Demonstration Program ◽  
Government Organizations ◽  
Bay Area

The San Francisco–Oakland Bay Bridge, connecting San Francisco and the East Bay, is one of the most heavily traveled corridors in the nation. In an effort to address traffic congestion in this corridor, the Bay Area Congestion Pricing Task Force—a group of business, environment, public interest, and government organizations—has been examining the viability of variable tolls on the Bay Bridge. Tolls would be higher during peak commute hours when demand is highest and lower in off-peak hours when the bridge has excess capacity. This supply-and-demand-based concept is known as congestion pricing. The federally sponsored planning phase of the Bay Bridge congestion-pricing demonstration program commenced in the fall of 1993. Its purpose was to determine the most feasible alternatives for reducing congestion on the San Francisco–Oakland Bay Bridge through implementing a congestion-pricing program. The process by which the task force developed a congestion-pricing proposal for the Bay Bridge is described, as are the lessons that have been learned along the way.

scholarly journals Assessment of network traffic congestion through Traffic Congestability Value (TCV): a new index

2015 ◽  
Vol 30 (30) ◽  
pp. 123-134 ◽  
Author(s):  
Nilanchal Patel ◽  
Alok Bhushan Mukherjee
Keyword(s):  
Land Use ◽  
Traffic Congestion ◽  
Urban Areas ◽  
Spatial Interaction ◽  
Network Congestion ◽  
Surface Conditions ◽  
Time Average ◽  
Index Value ◽  
Congestion Index ◽  
New Formula

Abstract Traffic congestion is a major and growing problem in urban areas across the globe. It reduces the effective spatial interaction between different locations. To mitigate traffic congestion, not only the actual status of different routes needs to be known but also it is imperative to determine network congestion in different spatial zones associated with distinct land use classes. In the present paper, a new formula is proposed to quantify traffic congestion in the different spatial zones of a study area characterized by distinct land use classes. The proposed formula is termed the Traffic Congestability Value (TCV). The formula considers three major influencing factors: congestion index value, pedestrian movement and road surface conditions; since these parameters are significantly related to land use in a region. The different traffic congestion parameters, i.e. travel time, average speed and the proportion of time stopped, were collected in real time. Lower values of TCV correspond to a higher degree of congestion in the respective spatial zones and vice-versa and the results were validated in the field. TCV differs from the previous approaches to quantifying traffic congestion since it focuses on the causes of network congestion while in previous works the focus was generally on link flow congestion.

Research on Second Ring Expressway Traffic Congestion in Beijing

2013 ◽  
Vol 409-410 ◽  
pp. 1339-1342 ◽  
Author(s):  
He Mao ◽  
Xiu Hua Xu
Keyword(s):  
Spatial Distribution ◽  
Traffic Flow ◽  
Traffic Congestion ◽  
Road Network ◽  
Management Control ◽  
Network Congestion ◽  
Control Programs ◽  
Urban Expressway ◽  
Network Load ◽  
Traffic Operation

According to the urban expressway traffic congestion of Beijing, from the perspective of traffic flow, the study makes a calculation and analysis on road network congestion rate, load of road network and traffic operation index. Training the traffic congestion and load of road network by using the BP neutral network in MATLAB, and put forward some countermeasures to solve the problem of traffic congestion. Through analyzing the load of different section and congestion rate, we can obtain the spatial distribution of the traffic flow and grasp the overall traffic on the Ring Road running load, develop appropriate management control programs for traffic managers, provide service and travel mode for travelers at the same time, so that balance the overall network load tends.

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 Investigating boundary effects of congestion charging in a single bottleneck scenario

Transport ◽  
2015 ◽  
Vol 33 (1) ◽  
pp. 77-91 ◽  
Author(s):  
Ying-En Ge ◽  
Kathryn Stewart ◽  
Yuandong Liu ◽  
Chunyan Tang ◽  
Bingzheng Liu
Keyword(s):  
Traffic Congestion ◽  
Road Traffic ◽  
Congestion Pricing ◽  
Maximum Level ◽  
Boundary Effects ◽  
Future Research ◽  
Slowing Down ◽  
Pricing Scheme ◽  
Bottleneck Capacity ◽  
Congestion Charging

Many congestion charging projects charge traffic only within part of a day with predetermined congestion tolls. Demand peaks have been witnessed just around the time when the charge jumps up or down. Such peaks may not be desirable, in particular (a) when the resulting peaks are much higher than available capacities; (b) traffic speeding up to get into the charging zone causes more incidents just before the toll rises up to a higher level; or (c) traffic slowing down or parking on the roadside decreases road traffic throughput just before the toll falls sharply. We term these types of demand peaks ‘boundary effects’ of congestion charging. This paper investigates these effects in a bottleneck scenario and aims to design charging schemes that reduce undesired demand peaks. For this purpose, we observe and analyse the boundary effects utilising a bottleneck model under three types of toll profiles that are indicative of real charging schemes. The first type maintains a constant toll across the charging period, the second type allows the toll to increase from zero to a given maximum level and then decrease back to zero and the third type allows the toll to rise from zero to a given maximum level, remain at this level for a fixed period and then fall down to zero. This investigation shows that all three types of toll profiles can produce greater boundary peak demands than the bottleneck capacity. A significant contribution of this work is that instead of designing an optimal traffic congestion pricing scheme we analyse how existing sub-optimal congestion pricing schemes could be improved and suggest how observed problems may be overcome. Hence, we propose a set of extra requirements to supplement existing principles or requirements for design and implementation of congestion charging, which aim to reduce the adverse consequences of boundary effects. Concluding remarks are made on implications of this investigation for the improvement of existing congestion charging projects and for future research.

scholarly journals Consensus Congestion Control in Multirouter Networks Based on Multiagent System

Complexity ◽  
2017 ◽  
Vol 2017 ◽  
pp. 1-10 ◽  
Author(s):  
Xinhao Yang ◽  
Sheng Xu ◽  
Ze Li
Keyword(s):  
Congestion Control ◽  
Multiagent Systems ◽  
Traffic Congestion ◽  
Multiagent System ◽  
The Internet ◽  
Network Congestion ◽  
Network Resources ◽  
Simulation Results ◽  
Systems Simulation

Due to the unbalance distribution of network resources and network traffic, congestion is an inherent property of the Internet. The consensus congestion controller based on the multiagent system theory is designed for the multirouter topology, which improves the performance of the whole networks. Based on the analysis of the causes of congestion, the topology of multirouter networks is modeled based on the graph theory and the network congestion control problem is described as a consensus problem in multiagent systems. Simulation results by MATLAB and Ns2 indicate that the proposed algorithm maintains a high throughput and a low packet drip ratio and improves the quality of the service in the complex network environment.

Performance of VoIP Networks Using MPLS Traffic Engineering

2012 ◽  
Vol 457-458 ◽  
pp. 927-930 ◽  
Author(s):  
Mohammed Faisal ◽  
Jia Uddin ◽  
Shimul Shil
Keyword(s):  
Traffic Engineering ◽  
Traffic Congestion ◽  
Network Performance ◽  
Ip Networks ◽  
Operating Efficiency ◽  
Voice Over Internet Protocol ◽  
Multiprotocol Label Switching ◽  
Network Congestion ◽  
Packet Losses ◽  
Data Packets

The implementation of Voice over Internet Protocol (VoIP) technology is on the increase because of its ability to enhance operating efficiency and reduce infrastructure cost. Voice and data packets traverse over IP networks with fixed maximum capacity. But susceptibility to traffic congestion which results in delay and packet losses is still a major challenge of VoIP technology. Multiprotocol Label Switching Protocol (MPLS) with Traffic Engineering (TE) is an approved standard technology that has the capabilities to minimize network congestion and improve network performance by reducing delay and packet loss to yield a higher throughput. In this paper, we investigate how MPLS Traffic Engineering can be implemented to reduce traffic congestion on VoIP networks.

Sign in / Sign up

Export Citation Format

Share Document