Probability Model definition

Probability Model. This model is applied to estimate passengers’ OD matrix. The model calculates the alighting probability considering travel distance and passenger boarding numbers. The model is improved by adding elements of station transfer capacity and land use levels around the station. • Deep Learning Model: This model is used to solve traffic problems, such as travel mode choice predication, short-term traffic flow prediction and destination forecast of bus passengers with the help of Artificial Intelligence (AI) applications. In China, a modified back propagation (BP) artificial neural network was used to deduce the bus OD matrix, but the dataset needs to be of a considerable size to achieve accurate results. In Korea, a more recent deep-learning model was developed to estimate the alighting number using the collected data (target boarding time, number of transfers, network travel times, generalized travel times) through AFC and land use information (residential floor area, commercial floor area, cultural floor area). Table 5 summarizes the advantages and disadvantages of each model (▇▇ et al., 2018). Table 5. Model's Advantages and Disadvantages Different factors can intervene in the quality and performance of the models when estimating the destination of alighting stations using smart cards. These factors are divided into two main categories: most comprehensive factors (e.g., boarding locations and time, alighting locations and time) and transport network variable (e.g., bus stop and line density), but also including the land use variable. The Trip Chaining Model considers boarding locations/time and walking time/distance variables but does not include land use. The Probability Model uses boarding number and network travel distance variables. Taken into consideration the variables used by each model, it can be concluded that the Deep Learning Model is the most comprehensive of the three, but it is impossible to point out if these are the factors affecting the results of these models, because there are other factors such as sample size or data cleaning that could be altering the results as well (▇▇ et al., 2018). Validation of the algorithms were completed with an entry-only system and the sample size is relatively small. Whereas using entry-exit systems, the validation of alighting data size was larger. Many problems can be encountered during data collecting like the ones caused by software, erroneous data, faulty hardware, or the users. Three types of problems wer...
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Examples of Probability Model in a sentence

  • Pursuant to the Reset Agent Agreement, the Reset Agent will review the Updated Exposure Data by verifying that locations, policy types, and construction classes can be mapped to formats appropriate to the Escrow Loss Probability Model, that values for coverage limits and deductibles are provided, and that there are no obvious errors in such values (together, the “Data Review Procedures”).

  • Using the Updated Projected Exposure Data as of the applicable Calculation Date, the Updated Stated Reinsurance, if any, the Updated Loss Adjustment Expense Factor, if any, and the Escrow Loss Probability Model (based on the Base Case analysis), the Reset Agent will reset (each, a “Reset”) effective as of the Reset Effective Date, the Attachment Point, Exhaustion Point, Risk Interest Spread, if applicable, and Insurance Percentage, using the following procedures.

  • Taking into the discussion in ▇▇▇▇▇▇▇▇ (2007) into consideration, we choose Linear 240 Probability Model (LPM) as our estimation method.

Related to Probability Model

  • Impact means any effect caused by a proposed activity on the environment including human health and safety, flora, fauna, soil, air, water, climate, landscape and historical monuments or other physical structures or the interaction among these factors; it also includes effects on cultural heritage or socio-economic conditions resulting from alterations to those factors;

  • Reliability pricing model or "RPM" means PJM's capacity-

  • reasonable measures means appropriate measures which are commensurate with the money laundering or terrorism financing risks;

  • Sponsor Model means the Sponsor’s financial model, dated June 26, 2018, used in connection with the syndication of the Credit Facility.

  • Reliability Pricing Model Auction or “RPM Auction” shall mean the Base Residual Auction or any Incremental Auction, or, for the 2016/2017 and 2017/2018 Delivery Years, any Capacity Performance Transition Incremental Auction.