The Capacity of the Road Network: Data Collection and Statistical Analysis of Traffic Characteristics

Shepelev, Vladimir; Aliukov, Sergei; Nikolskaya, Kseniya; Shabiev, Salavat

doi:10.3390/en13071765

Cited by 39 publications

(17 citation statements)

References 42 publications

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“…Thus, a level 5 autonomous vehicle is understood as a vehicle equipped with an integrated system of sensors (lidar, radar, sonar, inertia, GPS navigator) and video cameras, capable of interacting and exchanging data with other vehicles (V2V), a network (V2N), a person (V2P) and infrastructure (V2I) and is automatically controlled by a computer, which together allow him to safely move on public roads without human intervention. Therefore, computer vision algorithms [14][15][16], hardware sensor part [17] and automotive self-organizing networks (VANETs) [18] are currently being developed and improved. Also, researchers are actively developing automated driving systems that prevent or minimize vehicle collisions with other road users [19][20].…”

Section: Theory: the Main Directions Of Ensuring The Autonomous Vehicles' Active Safetymentioning

confidence: 99%

Parameterization of the ABS electronic control unit for increasing the autonomous trucks’ active safety

et al. 2021

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The article is devoted to the issue of improving the autonomous vehicles safety. The anti-lock braking system was chosen as the object of the study, since it is one of the components of the vehicle active safety during emergency braking. Its functioning varies depending on parameters such as vehicle type, transmission type, external and internal steering wheel angles. It is necessary to parameterize correctly the electronic control unit of the anti-lock braking system depending on the specific values of these parameters. For this, a software module was developed that reads the values of the vehicle parameters from a file and sends their array to the electronic control unit. Then we can check the result: how the block responded to the sent request -positively or negatively. All this will speed up the parameterization process, increase its accuracy, preventing the occurrence of operator errors during its implementation.

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Section: Theory: the Main Directions Of Ensuring The Autonomous Vehicles' Active Safetymentioning

confidence: 99%

Parameterization of the ABS electronic control unit for increasing the autonomous trucks’ active safety

et al. 2021

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“…Due to the intellectualization and digitalization of all processes and systems, the intelligent transport system (ITS) is one of the main tools of improving road safety. The introduction of ITS is associated with the use of modern communication facilities, the development of data processing algorithms, monitoring and control methods, using onboard computers, sensors and other technical means, which are equipped with modern vehicles and infrastructure facilities [5,6]. Effective management decisions are formed on the basis of information received in real time [7,8].…”

Section: Methology Of the System Approach In The Road Safety Managmentmentioning

confidence: 99%

Improving road safety in small towns based on a systematic approach

2021

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Currently improving road safety is the priority task in the field of transport management. In our opinion, making management decisions to reduce the road accidents number and injuries rate should be based on a systematic approach to identifying the accidents’ causes and severity. This can be achieved using, among other things, the analysis of statistical data on violations and accidents in dynamics. A model so-called the Haddon Matrix was used as a method of preliminary identification of influencing factors and possible measures for their elimination. The statistical analysis results are presented a particular settlement. It was revealed that the city specifics, namely the residents’ number, motorization rate and the road network and infrastructure characteristics, are reflected in the factors affecting the level of accidents rate and, as a consequence, on the measures necessary to reduce it.

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“…The introduction of adaptive control of traffic lights [14], [15] and the use of Big Data [16] are one of the most effective measures to reduce the loss of time for movement. To assess the effectiveness of the measures applied for the development of health and safety and transport infrastructure, simulation modelling is used [17].…”

Section: Introductionmentioning

confidence: 99%

Analysis of Methods of Providing Public Transport Priority in Cities

Pistsov

Zakharov

2021

WIT Transactions on the Built Environment

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In recent years, the Russian Federation cities have been actively implementing the concept of "priority for the development of public transport". The most common measure for the implementation public transport priority in Russian Federation is the organization of dedicated lanes. Most often, lanes for public transport are created by reducing the number of lanes for cars and trucks. This method effectiveness is well studied, and it is also known that this measure leads to deterioration in traffic parameters for private vehicles. The article discusses an alternative variant of the public transport priority on intersections with the use of traffic light adaptive control. The analysis of the advantages and disadvantages of two algorithms for adaptive control of traffic light objects is carried out according to the criterion of reducing the delay time of public transport when driving through intersections. With the help of imitation micromodeling, the dependence the delay time on the traffic intensity at a separate intersection was established for the basic variant, the variant with a lane for public transport, two variants of the active priority and the combined variant "active + passive" priority. For all variants, a comparative assessment was made of the deterioration of the driving parameters for personal cars and the improvement for public transport. The methods of granting the public transport priority were ranked according to the criterion of efficiency (travel time delay) for vehicles and all transport system users (drivers and passengers). It was found that in terms of average user travel time delay, passive priority reduces delay by 11.2% on average across the board. Using the combined method (active + passive) reduces user travel time delay by 17.1%. Also, using the combined method reduces the negative effect on personal vehicles compared to passive ones.

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The Capacity of the Road Network: Data Collection and Statistical Analysis of Traffic Characteristics

Cited by 39 publications

References 42 publications

Parameterization of the ABS electronic control unit for increasing the autonomous trucks’ active safety

Parameterization of the ABS electronic control unit for increasing the autonomous trucks’ active safety

Improving road safety in small towns based on a systematic approach

Analysis of Methods of Providing Public Transport Priority in Cities

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