Origin-Destination Demand Reconstruction Using Observed Travel Time under Congested Network

Sun, Chao; Chang, Yunlong; Luan, Xiaojin; Tu, Qiang; Tang, Wenyun

doi:10.1007/s11067-020-09496-4

Cited by 6 publications

(2 citation statements)

References 38 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In reality, there are some uncertain factors that are difficult to quantify in travel (such as weather and conditions of links). In addition, travelers' information about the entire traffic network is incomplete, and there will be some errors in their perception of the link travel time [60]. Therefore, travelers often cannot accurately predict the actual route travel time and can only choose their travel routes according to their perceived route travel time [61].…”

Section: Route Selection Modelmentioning

confidence: 99%

Day-to-Day Dynamic Traffic Flow Assignment Model under Mixed Travel Modes Considering Customized Buses

et al. 2023

Self Cite

View full text Add to dashboard Cite

In recent years, customized buses (CBs), a new form of public travel mode between bus and car, has sprung up in China. Its characteristics include flexible routes, each person having a seat and point-to-point travel have attracted travelers who seek high-quality travel, especially car travelers, alleviating traffic congestion at peak periods and leading to a change in urban travel modes. In addition to providing new travel modes, an exclusive bus lane (EBL) is also an effective means to alleviate traffic congestion. Therefore, this paper establishes link impedance functions under mixed travel modes considering the EBL, including customized buses on different kinds of links, and then presents a day-to-day dynamic traffic flow assignment model based on stochastic user equilibrium (SUE). Some conclusions were summarized by numerical case studies. First, the parameter of travelers’ sensitivity to route travel time affects the speed of traffic flow evolution. When it increases to positive infinity, the final state of the traffic network moves from SUE to deterministic user equilibrium (DUE). Second, the parameter on the degree of dependence of travelers on previous experience can not only influence the value size of actual travel time, but also influence the direction of actual travel time evolution. Third, conventional buses and customized buses have higher transportation efficiency than cars, but if the proportion of conventional bus travelers is too large, the total travel time of all travelers in the traffic network may increase. Fourth, when travel demands increase, the proportion of travelers who choose public transit is required to increase to achieve minimum total travel time. Lastly, from the perspective of the whole traffic network in any case, the EBL is not always beneficial. It is recommended to set EBLs when conventional buses and customized bus flows are heavy, which can be judged based on the model established in this paper.

show abstract

Section: Route Selection Modelmentioning

confidence: 99%

Day-to-Day Dynamic Traffic Flow Assignment Model under Mixed Travel Modes Considering Customized Buses

et al. 2023

Self Cite

View full text Add to dashboard Cite

show abstract

“…The network used for our numerical example was inspired by the classic version due to Nguyen and Dupuis (1984) in in Figure 3. This network has been widely used in the literature associated with the modeling of transport networks (some recent works are: He et al, 2022;Sun et al, 2020;Chen et al, 2020;Wang et al, 2018).…”

Section: Figure 2 Cost Function (Univariate Case)mentioning

confidence: 99%

Generalization of Beckmann’s Transformation for Traffic Assignment Models With Asymmetric Cost Functions

Maréchal

Grange

2022

Preprint

View full text Add to dashboard Cite

An optimization model is developed to solve the deterministic traffic assignment problem under congested transport networks with cost functions that have an asymmetric Jacobian. The proposed formulation is a generalization of Beckmann’s transformation that can incorporate network links with multivariate vector cost functions to capture the asymmetric interactions between the flows and costs of the different links. The objective function is built around a line integral that generalizes the simple definite integral in Beckmann’s transformation and is parameterised to ensure the solution of the new problem satisfies Wardrop’s first principle of network equilibrium. It is shown that this method is equivalent to the variational inequality approach.

show abstract

Day-to-day traffic user equilibrium model considering influence of intelligent highways and advanced traveler information systems

Sun

Chu²,

Zhang

et al. 2022

J. Cent. South Univ.

View full text Add to dashboard Cite

Origin-Destination Demand Reconstruction Using Observed Travel Time under Congested Network

Cited by 6 publications

References 38 publications

Day-to-Day Dynamic Traffic Flow Assignment Model under Mixed Travel Modes Considering Customized Buses

Day-to-Day Dynamic Traffic Flow Assignment Model under Mixed Travel Modes Considering Customized Buses

Generalization of Beckmann’s Transformation for Traffic Assignment Models With Asymmetric Cost Functions

Day-to-day traffic user equilibrium model considering influence of intelligent highways and advanced traveler information systems

Contact Info

Product

Resources

About