scholarly journals Traffic Congestion Pricing: Methodologies and Equity Implications

10.5772/66569 ◽  
2017 ◽  
Author(s):  
Ammar AbuLibdeh
Keyword(s):  
Traffic Congestion ◽  
Congestion Pricing

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 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 Optimal Design of Transportation Networks with Automated Vehicle Links and Congestion Pricing

2018 ◽  
Vol 2018 ◽  
pp. 1-12 ◽  
Author(s):  
Yipeng Ye ◽  
Hua Wang
Keyword(s):  
Network Design ◽  
Traffic Congestion ◽  
Solution Method ◽  
Congestion Pricing ◽  
Market Penetration ◽  
Travel Costs ◽  
Automated Vehicle ◽  
Proposed Model ◽  
Total Travel Time ◽  
Upper Level

We propose a bi-level network design model comprising automated vehicle (AV) links and congestion pricing to improve traffic congestion. As upper-level road planners strive to minimize total travel-time costs by optimizing both the network design and the congestion pricing, lower-level travelers make choices about their routes to minimize their individual travel costs. Our proposed model integrates a network design and congestion pricing to improve traffic congestion and we use a relaxation-based method to solve the model. We conducted a series of numerical tests to analyze the proposed model and solution method. Our results indicate that network design is more effective than congestion pricing when the AV market penetration is high and the opposite is true when AV penetration is low. More importantly, we find that a network design of automated vehicle links with congestion pricing is superior to a single network design or congestion pricing, especially when both AVs and conventional vehicles have a relatively large market penetration.

AN ECO-ENGINEERING MATHEMATICAL MODEL FOR THE TRAFFIC CONGESTION FEE

2010 ◽  
Vol 55 (03) ◽  
pp. 575-583
Author(s):  
MALIK BESHIR MALIK ◽  
MUSTAFA BABIKER
Keyword(s):  
Mathematical Model ◽  
Data Collection ◽  
Public Participation ◽  
Traffic Congestion ◽  
Congestion Pricing ◽  
Road Networks ◽  
Parametric Estimation ◽  
Pricing Model ◽  
The World ◽  
Physical Expansion

Traffic congestion is becoming a problem all over the world and physical expansion of road networks is becoming not the best option due to cost and other reasons. This paper considers the option of a congestion pricing model and explains its rationale and parametric estimation. The case of a city is studied to reflect on the potential of data collection mechanisms and public participation and awareness.

scholarly journals T-Coin: Dynamic Traffic Congestion Pricing System for the Internet of Vehicles in Smart Cities

Information ◽  
2020 ◽  
Vol 11 (3) ◽  
pp. 149
Author(s):  
Nyothiri Aung ◽  
Weidong Zhang ◽  
Sahraoui Dhelim ◽  
Yibo Ai
Keyword(s):  
Dynamic Pricing ◽  
Traffic Congestion ◽  
Vehicular Ad Hoc Networks ◽  
Smart Cities ◽  
Congestion Pricing ◽  
The Internet ◽  
Beijing City ◽  
Virtual Currency ◽  
Internet Of Vehicles ◽  
Pricing System

Alleviating traffic congestion is one of the main challenges for the Internet of Vehicles (IoV) in smart cities. Many congestion pricing systems have been proposed recently. However, most of them focus on punishing the vehicles that use certain roads during peak hours, neglecting the proven fact that rewards can encourage drivers to follow the rules. Therefore, in this paper, we propose a new congestion pricing system based on reward and punishment policies for the IoV in a smart city environment, where the vehicles are rewarded for voluntarily choosing to take an alternative path to alleviate traffic congestion. The proposed system is implemented using vehicular ad hoc networks, which eliminate the need for installing a costly electronic toll collection system. We propose a new virtual currency called T-Coin (traffic coin), that is used to reward the vehicles for their positive attitude. T-Coin is also used in the tender between vehicles to manage the road reservation process. The proposed system uses dynamic pricing to adapt to peak-hour traffic congestion. Using simulated traffic on a real map of Beijing city, we prove the usefulness of T-Coin as a traffic congestion pricing system.

Effect of Auto Restraint Policies on Travel Behavior

2005 ◽  
Vol 1932 (1) ◽  
pp. 156-163 ◽  
Author(s):  
Yoram Shiftan ◽  
Arnon Golani
Keyword(s):  
Travel Behavior ◽  
Traffic Congestion ◽  
Travel Demand ◽  
Stated Preference ◽  
Congestion Pricing ◽  
Point Of View ◽  
City Center ◽  
Policy Makers ◽  
New Policies ◽  
Economic Vitality

Auto restraint policies are becoming increasingly popular among urban planners and policy makers as a way of managing travel demand and traffic in city centers. Because urban access is considered crucial to the economic success of a downtown area, certain constituencies, such as business and retail, have historically been opposed to such policies. To address these concerns and design appropriate policies, it is important to understand how visitors to a city center are likely to respond to new policies. This paper presents a model for estimating the likely response to two potential auto restraint policies in the center of Tel Aviv, the largest metropolitan area in Israel: an increase in parking cost and the use of congestion pricing in the form of a cordon around the city center. The models are based on the responses of center visitors to a stated preference survey. The results show that for both workers and nonworkers, most drivers who respond to the policy will do so by changing their mode of travel, and, in the case of congestion pricing, by also changing the time of their trip. The minority will respond by changing their destination or canceling their trip. This is an encouraging result from a policy point of view because changing time or mode is considered a positive shift, whereas changing destination or canceling the trip is considered negative. The results indicate that auto restraint policies can be effective in reducing traffic congestion and air pollution in city centers without hampering their economic vitality.

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
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