Determining passenger traffic as important factor in urban public transport system

Belokurov, Vladimir; Spodarev, Ruslan; Белокуров, С. В.

doi:10.1016/j.trpro.2020.10.007

Cited by 21 publications

(11 citation statements)

References 19 publications

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“…Growing passenger and freight transport volumes make it more difficult to achieve the sustainable development goals [1,2]. In the future, one solution will include vehicle automation and new mobility services (e.g., shared mobility), which aim to make road traffic more efficient and sustainable while providing individuals seamless journeys without owning a car [3,4].…”

Section: Introductionmentioning

confidence: 99%

“…In reality, the CAV may have recognized the other car approaching the intersection earlier, but this could not be confirmed using the available crash data. As depicted in Figure 4, we conducted a time-to-collision (TTC) analysis (1), in which TTC is the time distance between the trigger point and the collision point. TTC represents the distance from the at-fault car's perspective.…”

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confidence: 99%

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The Needed Features of Connected and Automated Vehicles to Prevent Passenger Car Crashes Caused by Driving Errors

Utriainen

Pöllänen

2021

Future Transportation

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Connected and automated vehicles (CAVs) can enhance traffic safety considerably. However, as CAVs are currently under development, the safety impact cannot be assessed directly. In this study, driver-managed passenger car crashes with fatalities in Finland were investigated qualitatively to evaluate the needed features of the CAVs to avoid these crashes. The focus was on single-car crashes and collisions between passenger cars, in which the immediate risk factor was a driving error (n = 48). Most of the analysed crashes (33 of 48) were due to loss of control with typically adverse weather or road conditions. To avoid these crashes, a CAV should be able to adjust its speed according to the conditions. In 13 of 48 crashes, the car was under control prior to the crash. A reliable capability to recognize other road users is an important CAV feature, because observational errors were common in these cases. In addition, communication between the vehicles could assist in avoiding intersection crashes and crashes caused by a sudden change in weather conditions. This study increases knowledge on crashes related to driving errors and the needed features of CAVs to avoid these crashes. In particular, CAVs’ feature to adjust the speed is important, because cases of loss of control in adverse weather or road conditions were typical events.

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Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

The Needed Features of Connected and Automated Vehicles to Prevent Passenger Car Crashes Caused by Driving Errors

Utriainen

Pöllänen

2021

Future Transportation

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“…Lagos and Kano are Northern and Southern Nigeria's respective regional geopolitical, commercial and industrial strategic hubs. Urban transport in many developing countries is becoming increasingly complex due to the fewer modal options available for the multitude of rounds of origin and destination trips produced and the volume of traffic involved [21].…”

Section: Traffic Congestion and Resilience Mapping Of Nigerian Citiesmentioning

confidence: 99%

Neural Network Approach to Modelling Transport System Resilience for Major Cities: Case Studies of Lagos and Kano (Nigeria)

2021

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Congestion has become part of everyday urban life, and resilience is very crucial to traffic vulnerability and sustainable urban mobility. This research employed a neural network as an adaptive artificially-intelligent application to study the complex domains of traffic vulnerability and the resilience of the transport system in Nigerian cities (Kano and Lagos). The input criteria to train and check the models for the neural resilience network are the demographic variables, the geospatial data, traffic parameters, and infrastructure inventories. The training targets were set as congestion elements (traffic volume, saturation degree and congestion indices), which are in line with the relevant design standards obtained from the literature. A multi-layer feed-forward and back-propagation model involving input–output and curve fitting (nftool) in the MATLAB R2019b software wizard was used. Three algorithms—including Levenberg–Marquardt (LM), Bayesian Regularization (BR), and a Scaled Conjugate Gradient (SCG)—were selected for the simulation. LM converged easily with the Mean Squared Error (MSE) (2.675 × 10−3) and regression coefficient (R) (1.0) for the city of Lagos. Furthermore, the LM algorithm provided a better fit for the model training and for the overall validation of the Kano network analysis with MSE (4.424 × 10−1) and R (1.0). The model offers a modern method for the simulation of urban traffic and discrete congestion prediction.

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“…In conclusion it can be noted that there have been proposed basic classes of models that reflect the features of the competitive market for passenger transportation, which allows to obtain predictive models that ensure effective management of the system of a public transport enterprise, and an original method of structural identification of models of processes of the public transport enterprise system has been developed on the basis of a combinatorial algorithm of the group method of data handling. Taking into account the independence of the influencing factors and allowing to obtain management models for effective management of the system of a public transport enterprise in a competitive market in a stagnant economy [6][7][8].…”

Section: Kr M Umentioning

confidence: 99%

Mathematical support to make managerial decisions in the socio-economic systems of public transport enterprises

2021

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The structure of the management system of a public transport enterprise is determined by the services of different functional load. Such a structure includes operational and technical and economic blocks. They can function effectively only on the basis of fast and correct managerial decisions concerning the structure of the management system of a public transport enterprise. The relevance of making thoughtful and well-grounded management decisions is dictated by the requirements to take into consideration many both macro- and microeconomic factors. In this regard, the introduction of modern management methods makes it possible to implement the principle «What to do in order to ...». The article is devoted to the mathematical modeling of the processes of a public transport enterprise to support management decisions in the field of effective enterprise planning. Such tasks can be implemented only with a systematic approach to the economic activity of a public transport enterprise and modeling both individual subsystems and the development of the enterprise system as a whole. The solution of the problems posed is proposed on the basis of the group arguments consideration method.

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Determining passenger traffic as important factor in urban public transport system

Cited by 21 publications

References 19 publications

The Needed Features of Connected and Automated Vehicles to Prevent Passenger Car Crashes Caused by Driving Errors

The Needed Features of Connected and Automated Vehicles to Prevent Passenger Car Crashes Caused by Driving Errors

Neural Network Approach to Modelling Transport System Resilience for Major Cities: Case Studies of Lagos and Kano (Nigeria)

Mathematical support to make managerial decisions in the socio-economic systems of public transport enterprises

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