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There are 18 papers published in subject: > since this site started. |
Results per page: | 18 Total, 2 Pages | << First < Previous 1 2 |
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1. Tradable credits for congestion management with mixed equilibrium behaviors | |||
ZHAO Hui,ZHANG Cuiping,SUN Huijun,GAO Ziyou | |||
Transportation Engineering 22 November 2012 | |||
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Abstract:In this paper, we investigate the tradable credit scheme for a transportation system with multiple equilibrium behaviors in congestion management. The target system contains user equilibrium (UE), Cournot-Nash equilibrium (CNE) and market equilibrium (ME) simultaneously. The UE-CNE and ME conditions can be formulated into an equivalent Variational Inequality Problem (VIP) and the solution's existence and uniqueness properties are discussed. Furthermore, the uniqueness of credit price is also presented. By transferring the tradable credit design problem into an equivalent quadratic programming problem, we design an appropriate tradable credit scheme to decentralize system optimal network flow patterns. Applications of the proposed model are illustrated with numerical results. | |||
TO cite this article:ZHAO Hui,ZHANG Cuiping,SUN Huijun, et al. Tradable credits for congestion management with mixed equilibrium behaviors[OL].[22 November 2012] http://en.paper.edu.cn/en_releasepaper/content/4495617 |
2. An Universally Maximal Flow Model for Evacuation Route Planning | |||
GAO Mingxia | |||
Transportation Engineering 26 October 2012 | |||
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Abstract:Evacuation plays an important role in emergency management, and efficient tools are needed to identify routes and departure schedules for evacuation vehicles to guarantee safety and efficiency. Most research works on such problem do not explicitly consider delay and capacity at intersections. However, in congested street networks, turning movement delays and capacity at intersections may be significant, and ignoring them may lead to the calculation of suboptimal or illogical routing plans. With turning delay and capacity at intersections as weights of node, the evacuation road network is expressed as a network with directional node-weight and the problem of finding optimal evacuation routing plans is described as a special universally maximal flow problem. A algorithm is presented to find the optimal route and departure schedule by maximizing the flow arriving at sink by all time t in study period (namely the universally maximal flow over time), which is done by modifying the classical one that do not deal with weights at nodes. A numerical example is given. | |||
TO cite this article:GAO Mingxia. An Universally Maximal Flow Model for Evacuation Route Planning[OL].[26 October 2012] http://en.paper.edu.cn/en_releasepaper/content/4493176 |
3. Circular Traffic Organization | |||
LUO Xingchun,LI Yan | |||
Transportation Engineering 12 November 2011 | |||
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Abstract:Circular traffic organization is to choose appropriate arterial road or secondary trunk road as circuit in proper urban region, to set special in- and out-circuit right turn lane in intersection and to set special U-turn lane in appropriate circuit position. With proper weaving, vehicle stream can turn left or "dash out circuit" to go straight on through straight or right-turn after U-turned in U-turn lane. All the intersections are not permitted to turn left and dash out circuit to go straight on in order to assure traffic efficiency of straight in circuit and form self-organization circular traffic. Thus the traffic conflict point in intersection can be eliminated, time loss which caused by setting too many traffic signal lamps in intersection can be avoided, as well as traffic jam which caused by overconcentration of traffic converging, weaving and diverging regions in traditional roundabout traffic organization, and traffic bottleneck can be let up. Thereby traffic efficiency of area traffic can be improved greatly, and a safe, unblocked and effective traffic environment is available. | |||
TO cite this article:LUO Xingchun,LI Yan. Circular Traffic Organization[OL].[12 November 2011] http://en.paper.edu.cn/en_releasepaper/content/4449247 |
4. Road structures, traffic demand and flow characteristics at inhomogeneous urban freeway sections | |||
HE Shuyan,GUAN Wei | |||
Transportation Engineering 25 February 2011 | |||
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Abstract:IRoad inhomogeneities such as on- and off-ramps, lane increasing and decreasing are potential bottlenecks. Capacity of urban freeway during peak period is affected by these complex road structure and high traffic demand. Since the dense inhomogeneities are close to each other, investigation aiming at describing integrated effects of road inhomogeneities is needed. In this paper, based on real traffic data of Beijing urban freeway, relation between traffic demand, road structure and lane-specified traffic characteristics are investigated. It is turned out that the main reason for capacity decrease at peak period is fluctuations induced by competition between main road and ramp. However, on-ramp and off-ramp are different in the way for triggering a capacity drop. Based on empirical investigation, mathematical descriptions for congestion evolution process are developed for further modelling. | |||
TO cite this article:HE Shuyan,GUAN Wei. Road structures, traffic demand and flow characteristics at inhomogeneous urban freeway sections[OL].[25 February 2011] http://en.paper.edu.cn/en_releasepaper/content/4412503 |
5. Empirical mode decomposition of traffic time series | |||
Jianhai Yue,Keqiang Dong,Pengjian Shang | |||
Transportation Engineering 09 February 2010 | |||
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Abstract:We apply an important tool to extract the traffic cycle signal from traffic data. An alternative to traditional analysis is a non-linear empirical mode decomposition (EMD) method. This method is adaptive and therefore highly efficient at identifying embedded structures, even those with small amplitudes. Using this analysis, the traffic time series are completely decomposed into five non-stationary temporal modes including a 24-hour cycle signal, a 1-week cycle signal and a trend. It indicates that EMD can be used to analyze and interpret the traffic flow | |||
TO cite this article:Jianhai Yue,Keqiang Dong,Pengjian Shang. Empirical mode decomposition of traffic time series[OL].[ 9 February 2010] http://en.paper.edu.cn/en_releasepaper/content/40111 |
6. A simple method for predicting real-time vehicle queue length | |||
Yao Ronghan,Wang Dianhai | |||
Transportation Engineering 23 March 2009 | |||
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Abstract:In order to seek a simple method to predict real-time vehicle queue length, the basic assumption of which traffic flow in transition is divided into two fluids was represented. The equivalent queue length model was developed on the basis of the conservation equation. The concrete expressions under the two cases were argued. The methods of calculating or calibrating parameters were given. To validate the models under the two cases, the simulation schemes for the first case and the survey schemes for the second case were designed. By contrasting the equivalent queue lengths from the models with the actual queue lengths from the schemes, the following results are found. First, the equivalent queue lengths are all longer than the actual queue lengths. Second, the equivalent queue lengths are stable and the actual queue lengths are fluctuating. The conclusions indicate that the equivalent queue length model can quantitively and better describe the congestion level of traffic flow, especially, for congested traffic flow. Computational implementation of the new method is tractable and can be done very effectively, making it suitable for real-time queue length estimation. | |||
TO cite this article:Yao Ronghan,Wang Dianhai. A simple method for predicting real-time vehicle queue length[OL].[23 March 2009] http://en.paper.edu.cn/en_releasepaper/content/30579 |
7. Analysis on Penetration of ATIS in Stochastic Dynamic Traffic Network | |||
Ren Hualing,Gao Ziyou,Long Jiancheng | |||
Transportation Engineering 04 February 2009 | |||
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Abstract:The penetration of the travelers with ATIS services is an important factor that controls the benefits of ATIS. Studies show that, the congestion extent of the urban traffic system will not always decrease through the increasing of the market penetration of ATIS. In this paper, a bi-level programming model is presented to determine the optimal service price and the market penetration of ATIS, in which the lower problem is a stochastic dynamic user optimal model. A chaotic approach is used to solve the bi-level programming model and the numerical results show the application of the bi-level programming model. Numerical experiments show the effects of the penetration of ATIS on the the travellers’ behaviors and the congestion level of the traffic network. | |||
TO cite this article:Ren Hualing,Gao Ziyou,Long Jiancheng. Analysis on Penetration of ATIS in Stochastic Dynamic Traffic Network[OL].[ 4 February 2009] http://en.paper.edu.cn/en_releasepaper/content/28401 |
8. A New Braess’s Paradox with Queue Spillovers Considering Dynamic User Equilibrium | |||
Zhang Xiaoning ,Zhang Hongjun | |||
Transportation Engineering 19 December 2007 | |||
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Abstract: This paper explores the network properties when queues spill over network links, by examining a paradox of network expansion. In networks, each commuter simultaneously chooses departure time and travel route to minimize the travel cost including journey time and unpunctuality penalty. Using some necessary conditions of dynamic user equilibrium, the dynamic network flows are exactly obtained on some small networks. Then we use a network with two origins and two destinations to illustrate an interesting paradox that is caused by the FIFO behavior among commuters traveling on a common upstream link of which the exit is blocked by one branch of downstream traffic. The comparison analysis in this example shows that point-queue models often overestimate the network performance and consideration of queuing spatial dimension in dynamic traffic assignment is necessary | |||
TO cite this article:Zhang Xiaoning ,Zhang Hongjun. A New Braess’s Paradox with Queue Spillovers Considering Dynamic User Equilibrium[OL].[19 December 2007] http://en.paper.edu.cn/en_releasepaper/content/17141 |
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