The Impact of Traffic Crashes on Urban Network Traffic Flow

Zeng, Junwei; Qian, Yongsheng; Wang, Bingbing; Wang, Tingjuan; Wei, Xuting

doi:10.3390/su11143956

Cited by 15 publications

(1 citation statement)

References 28 publications

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“…The transport performance of road freight transport is significantly growing [15][16][17], while the importance of transport modes suitable for the transport of large volumes of goods without excessive burden on infrastructure and the environment declines, or it is completely negligible in the total transport volume [18,19]. Many studies [20][21][22][23][24] have focused on traffic modeling using simulation, which is a cost-effective solution. Simulation is used for answering the question "what if?"…”

Section: Introductionmentioning

confidence: 99%

Use of Traffic Planning Software Outputs When a New Highway Section Is Put into Operation

Harantová¹,

Kalašová²,

Kubíková³

2021

Sustainability

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The main aim of this paper is to point out the assumptions of motorway operation effects on local transport. We assume positive effects of starting motorway operation on the specific section of road I/11. This section connects the cities of Žilina and Čadca. It is considered as one of the most problematic sections of the Slovak Republic because of the high intensity of individual transport and freight or cargo transport. This transport issue is growing beyond the regional level and is reaching alarming proportions. It needs to be solved as soon as possible. One of the available possibilities is to start the operation of the mentioned motorway D3. We have created a simulation model of a current state and also the state with the motorway. We have used intensities from the last national traffic census as basic inputs for simulation. These intensity values have been recalculated by relevant growth coefficients defined in Technical Conditions no. 102. Based on the results of a dynamic simulation, we have compared the average speed, delay times, and the length of congestions in two scenarios—the current state and effects of motorway operation.

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Section: Introductionmentioning

confidence: 99%

Use of Traffic Planning Software Outputs When a New Highway Section Is Put into Operation

Harantová¹,

Kalašová²,

Kubíková³

2021

Sustainability

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Long Short Term Memory Based Traffic Prediction Using Multi-Source Data

Leinonen,

Al-Tachmeesschi,

Turkmen

et al. 2024

Int. J. ITS Res.

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Traffic prediction is a task where the goal is to determine the number and type of vehicles, or some other traffic related metric, at certain time point. In addition to predicting the short-term evolution of traffic, prediction can be done for estimating traffic for distant future based on the trends found in historical traffic data, which is a critical component of traffic simulators being able to spawn realistic number of vehicles under prevailing situation. Such prediction system needs to be dependent on the characteristics of the situation and not the preceding traffic flow. This work presents a deep learning based prediction pipeline that uses a Long Short Term Memory (LSTM) network to map temporal, weather and traffic accident data accurately into traffic flow to predict traffic flow over multiple timesteps from various non-traffic inputs. Traffic data can then be produced based on independent data like weather forecasts and be used for other applications. As far as we know, no previous traffic predictor combines so many input variables to predict traffic flow with vehicle type information. To make the event based traffic accident dataset compatible with time series data, a novel preprocessing step based on power law decay phenomenon is added. Quantitative experiments show that the proposed preprocessing step and optimized hyperparameters improve the accuracy of the predictor on multiple metrics compared to a model without accident information. In two established statistical evaluation metrics, Mean Absolute Error and Mean Squared Error, the improvement was over $$20 \%$$ 20 % for certain vehicle types.

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Urban short-term traffic speed prediction with complicated information fusion on accidents

Zhao

et al. 2023

Expert Systems with Applications

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The Impact of Traffic Crashes on Urban Network Traffic Flow

Cited by 15 publications

References 28 publications

Use of Traffic Planning Software Outputs When a New Highway Section Is Put into Operation

Use of Traffic Planning Software Outputs When a New Highway Section Is Put into Operation

Long Short Term Memory Based Traffic Prediction Using Multi-Source Data

Urban short-term traffic speed prediction with complicated information fusion on accidents

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