A Congestion Bottleneck Analysis Model for Tourist Block Street Network

2020 ◽  
pp. 2050054
Author(s):  
Xiaoqin Dong ◽  
Xianbin Sun ◽  
Jiangquan He ◽  
Xiaofeng Yan
Keyword(s):  
Large Degree ◽  
User Equilibrium ◽  
Path Selection ◽  
Tourism Industry ◽  
Stochastic User Equilibrium ◽  
Analysis Model ◽  
Effective Prevention ◽  
The Road ◽  
Route Choice Behavior ◽  
Bottleneck Analysis

The development of the tourism industry has led to increased pressure of people flow in tourist blocks. Therefore, it is critical to ease the traffic pressure in these blocks. This paper aims to identify the bottleneck links of street networks in tourist blocks to achieve the effective prevention of congestion accidents. A logit stochastic user equilibrium model combined with spatial syntax is presented to study the travelers’ route choice behavior. The nonlinear Bureau of Public Roads function is applied to calculate the time impedance of each street. A case analysis of the Chongqing Ciqikou tourist block shows that the bottleneck link has the features of high integration and a large degree of negative time impedance evolution. The research’s results are more consistent with practical circumstances because the influence of the road network topological structure on pedestrian path selection has been considered.

Stochastic Traffic Assignment Model Based on Travel Time Reliability

2011 ◽  
Vol 130-134 ◽  
pp. 3716-3720
Author(s):  
Yi Ran Cheng ◽  
Yin Han ◽  
Xin Kai Jiang ◽  
Jia Lei Gu
Keyword(s):  
Travel Time ◽  
Equilibrium Model ◽  
Choice Behavior ◽  
Transportation Networks ◽  
Route Choice ◽  
User Equilibrium ◽  
Travel Time Reliability ◽  
Stochastic User Equilibrium ◽  
Model Based ◽  
Route Choice Behavior

Considering the un-deterministic transportation networks, the paper proposes the change of the route choice decisions under the stochastic transportation networks. The route choice behavior is described as a choice for a time shortest route which is subject to a time-reliability level. The paper also considered this new route choice behavior in the stochastic user equilibrium model, and proposed stochastic user equilibrium model based on the optimized reliability travel time route choice behavior in the stochastic networks. The equivalence and uniqueness of the solution of the model are demonstrated. Numerical results of a small network show that the proposed model can reflect the real traveler’s route choice behavior in stochastic transportation networks.

scholarly journals Agent-Based Route Choice with Learning and Exchange of Information

Urban Science ◽  
2018 ◽  
Vol 2 (3) ◽  
pp. 58 ◽  
Author(s):  
Shanjiang Zhu ◽  
David Levinson
Keyword(s):  
Route Choice ◽  
User Equilibrium ◽  
Spatial Knowledge ◽  
Stochastic User Equilibrium ◽  
Agent Based ◽  
Route Choice Behavior ◽  
Arc Model ◽  
Planning Models ◽  
Behavioral Preferences ◽  
Levels Of Service

Planning models require consideration of travelers with distinct attributes (value of time (VOT), willingness to pay, travel budgets, etc.) and behavioral preferences (e.g., willingness to switch routes with potential savings) in a differentiated market (where routes have varying tolls and levels of service). This paper proposes to explicitly model the formation and spreading of spatial knowledge among travelers, following cognitive map theory. An agent-based route choice (ARC) model was developed to track choices of each individual decision-maker in a road network over time and map individual choices into macroscopic flow pattern. ARC has been applied to both the Sioux Falls and Chicago sketch networks. Comparisons between ARC and existing models (user equilibrium (UE) and stochastic user equilibrium (SUE)) on both networks show ARC is valid and computationally tractable. In brief, this paper specifically focuses on the route choice behavior, while the proposed model can be extended to other modules of transportation planning under an integrated framework.

scholarly journals A Stochastic User Equilibrium Formulation for the Cumulative Prospect Theory-Based Cross-Nested Logit

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Dongmei Yan ◽  
Yang Yang
Keyword(s):  
Prospect Theory ◽  
User Equilibrium ◽  
Cumulative Prospect Theory ◽  
Model Parameters ◽  
Nested Logit ◽  
Stochastic User Equilibrium ◽  
Weighted Averages ◽  
Route Choice Behavior ◽  
Method Of Successive Averages ◽  
The Impact

The cumulative prospect theory provides a better description for route choice behavior of the travelers in an uncertain road network environment. In this study, we proposed a multiclass cumulative prospect value- (CPV-) based cross-nested logit (CNL) stochastic user equilibrium (SUE) model. For this model, an equivalent variational inequality (VI) model is provided, and the existence and equivalence of the model solutions are also proved. The method of successive averages (MSA), method of successive weighted averages (MSWA), and self-regulated averaging (SRA) method are designed and compared. In addition, the proposed multiclass CPV-based CNL SUE model is also compared with the multiclass utility value- (UV-) based CNL SUE model. The results show that the path flow assigned by the multiclass CPV-based CNL SUE model is more consistent with the actual situation. The impact of different model parameters on the cumulative prospect value (CPV) is investigated.

scholarly journals Stochastic Electric Vehicle Network Considering Environmental Costs

2018 ◽  
Vol 10 (8) ◽  
pp. 2888 ◽  
Author(s):  
Jie Ma ◽  
Lin Cheng ◽  
Dawei Li ◽  
Qiang Tu
Keyword(s):  
Electric Vehicle ◽  
Electric Vehicles ◽  
User Equilibrium ◽  
Environmental Costs ◽  
Stochastic User Equilibrium ◽  
Numerical Example ◽  
Route Choice Behavior ◽  
Modern Cities ◽  
Proposed Model ◽  
Vehicle Network

In recent years, many countries have published their timetables to promote electric vehicles. Many researches have focused on the benefits of electric vehicles. Compared with gas vehicles, electric vehicles are more suitable for modern cities, because they are considered to be environment-friendly by the public. Hence we pay attention to the environmental costs of electric vehicles. In this paper, an electric vehicle network is established. To analyze this electric vehicle network, we define environmental costs for the network and propose a stochastic user equilibrium model to describe drivers’ route choice behavior. An algorithm is proposed to solve this model. The model and the algorithm are illustrated through a numerical example. We test the calculation feasibility of the proposed model and the computational efficiency of the proposed algorithm via this numerical example. A comparative analysis is conducted to show the benefits of introducing electric vehicles into traffic networks. With the sensitivity analysis, we also reveal the relationship between people’s environmental awareness, the quantity of electric vehicles and the environmental costs of the overall traffic network.

Optimal Fare Structure for Transit Networks with Elastic Demand

2000 ◽  
Vol 1733 (1) ◽  
pp. 8-14 ◽  
Author(s):  
William H. K. Lam ◽  
Jing Zhou
Keyword(s):  
User Equilibrium ◽  
Elastic Demand ◽  
Stochastic User Equilibrium ◽  
Transit Assignment ◽  
Heuristic Solution ◽  
Transit Networks ◽  
Route Choice Behavior ◽  
Assignment Model ◽  
Level Problem ◽  
Upper Level

A bilevel model is presented to optimize the fare structure for transit networks with elastic demand under the assumption of fixed transit service frequency. It is known that the transit fare structure has significant effects on passengers' demand and route choice behavior. The transit operator therefore should predict passengers' response to changing fare charges. A bilevel programming method is developed to determine the optimal fare structure for the transit operator while taking passengers' response into account. The upper-level problem seeks to maximize the operator’s revenue, whereas the lower-level problem is a stochastic user equilibrium transit assignment model with capacity constraints. A heuristic solution algorithm based on sensitivity analysis is proposed. Finally, a numerical example is given together with some useful discussion.

scholarly journals A Modified Network-Wide Road Capacity Reliability Analysis Model for Improving Transportation Sustainability

Algorithms ◽  
2020 ◽  
Vol 14 (1) ◽  
pp. 7
Author(s):  
Kui Ji ◽  
Jianxiao Ma
Keyword(s):  
Reliability Analysis ◽  
Travel Time ◽  
Road Network ◽  
Programming Model ◽  
Network Capacity ◽  
User Equilibrium ◽  
Stochastic User Equilibrium ◽  
Analysis Model ◽  
Step Size ◽  
Level Model

Reserve capacity is the core of reliability analysis based on road network capacity. This article optimizes its bi-level programming model: the upper-level model has added service level coefficient and travel time limit, which realizes the unification of capacity and travel time reliability analysis to a certain extent. Stochastic user equilibrium (SUE) model based on origin has been selected as the lower-level model, which added capacity constraints to optimize distribution results, and allows the evaluation of reliability to be continued. Through the SUE model, the iterative step size of the method of successive averages can be optimized to improve the efficiency of the algorithm. After that, the article designs the algorithm flow of reliability analysis based on road network capacity, and verifies the feasibility of the designed algorithm with an example. Finally, combined with the conclusion of reliability analysis, this article puts forward some effective methods to improve the reliability of the urban road network.

scholarly journals Capacity in municipalities: Infrastructures, maintenance debts and ways of overcoming a run-to-failure mentality

2021 ◽  
pp. 026909422110304
Author(s):  
Jens Alm ◽  
Alexander Paulsson ◽  
Robert Jonsson
Keyword(s):  
Economies Of Scale ◽  
Heavy Traffic ◽  
Road Networks ◽  
Large Degree ◽  
Welfare States ◽  
The Road ◽  
Technical Capacity ◽  
Multidimensional Concept ◽  
Sewage Systems ◽  
Road Segments

There is a growing maintenance debt of ageing and critical infrastructures in many municipalities in European welfare states. In this article, we use the multidimensional concept of local capacity as a point of departure to analyse how and in what ways Swedish municipalities work with the routine maintenance of infrastructures, including municipal road networks as well as water and sewage systems. For the road networks, maintenance is generally outsourced to contractors and there is also a large degree of tolerance for various standards on different road segments within and between the municipalities. Less used road segments are not as prioritised as those with heavy traffic. For the water and sewage systems, in-house technical capacity is needed as differences in water quality are not tolerated. Economies of scale mean that in-house capacity is translated into the creation of inter-municipal bodies. As different forms of capacities tend to reinforce each other, municipal capacity builds up over time in circular movements. These results add knowledge to current research by pointing to the ways municipalities are overcoming a run-to-failure mentality by building capacity to pay off the infrastructural maintenance debt.

scholarly journals A regret-based route choice model with asymmetric preference in a stochastic network

2018 ◽  
Vol 10 (8) ◽  
pp. 168781401879323
Author(s):  
Lei Zhao ◽  
Hongzhi Guan ◽  
Xinjie Zhang ◽  
Xiongbin Wu
Keyword(s):  
Loss Aversion ◽  
Equilibrium Model ◽  
Choice Model ◽  
User Equilibrium ◽  
Stochastic User Equilibrium ◽  
Regret Minimization ◽  
Route Network ◽  
Travel Decision ◽  
Gains And Losses ◽  
Random Regret Minimization

In this study, a stochastic user equilibrium model on the modified random regret minimization is proposed by incorporating the asymmetric preference for gains and losses to describe its effects on the regret degree of travelers. Travelers are considered to be capable of perceiving the gains and losses of attributes separately when comparing between the alternatives. Compared to the stochastic user equilibrium model on the random regret minimization model, the potential difference of emotion experienced induced by the loss and gain in the equal size is jointly caused by the taste parameter and loss aversion of travelers in the proposed model. And travelers always tend to use the routes with the minimum perceived regret in the travel decision processes. In addition, the variational inequality problem of the stochastic user equilibrium model on the modified random regret minimization model is given, and the characteristics of its solution are discussed. A route-based solution algorithm is used to resolve the problem. Numerical results given by a three-route network show that the loss aversion produces a great impact on travelers’ choice decisions and the model can more flexibly capture the choice behavior than the existing models.

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