Transportation

This dataset webpage contains datasets of exisiting and proposed models:

  • tubular.zip
  • tubular2.zip
  • tubular3.zip

 B Model of Fault And Short-Circuit Analysis of Synchronous Generator 

 presented in my 3rd Probably last Speaker Presentation in Conference -  2025*.  

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This dataset webpage contains datasets and models 

  • inductionmotor1.zip
  • inductionmotor2.zip
  • inductionmotor3.zip
  • pmsm1.zip
  • pmsm2.zip
  • pmsm3.zip
  • BLDC1.zip
  • BLDC1.zip

  presented in my 3rd last Speaker Presentation in Conference -  2025*.

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386 Views

Each HistDataX.csv file refers to a set of historical data. 

 

Each column refers to an attribute, including:

    Driving distance (km),

    Vehicle speed (km/h),

    Motor output power (W),

    Acceleration padel position (%),

    Traffic status (0, 1, 2,…, 4; the bigger, the heavier),

    Traffic jam direction (-1 opposite direction, 0 unknown, 1 same direction),

    Traffic flow speed (km/h).

 

The sample rate is 10 Hz.

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Sea-rail intermodal transportation is an essential infrastructure in global supply chains nowadays. Since the yard is the interface between sea and land, optimizing the transportation process in yards is of significant interest for increasing transportation efficiency.

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For optimizing RSU deployment, comprehensive data is essential. Geographical data includes detailed road network topology, traffic flow patterns, and geographic coordinates. Communication range data covers effective ranges of RSUs and connected vehicles, considering signal strength and environmental conditions. Vehicle data involves classifications based on communication capabilities and percentages of connected vehicles. Network performance data includes latency requirements, packet loss rates, and bandwidth needs.

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Despite the considerable efforts to enhance road infrastructure and enforce stricter driving regulations to ensure road safety, the number of accidents worldwide remains alarmingly high, driven by factors such as distracted driving, speeding, and impaired driving. For instance, in the United States, fatal accidents increased by 16% from 2018 to 2022, with the number of fatalities rising from 36,835 in 2018 to 42,795 in 2022. This highlights the pressing need for innovative solutions to mitigate traffic incidents and enhance road safety.

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231 Views

This paper develops a correct-by-design controller for an autonomous vehicle interacting with opponent vehicles with unknown intentions. We define an intention-aware control problem incorporating epistemic uncertainties of the opponent vehicles and model their intentions as discrete-valued random variables. Then, we focus on a control objective specified as belief-space temporal logic specifications. From this stochastic control problem, we derive a sound deterministic control problem using stochastic expansion and solve it using shrinking-horizon model predictive control.

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361 Views

This dataset reports information on Metanet model parameters and traffic conditions on the intercity bus line in Liguria (Italy) that connects Savona with FInalborgo. The dataset also contains information resulting from the model execution, reporting flows, speeds, densities, and boundary conditions of two traffic scenarios corresponding to two different periods of the day (7 am-9 am) (2 pm-4 pm)

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632 Views

The advancement of machine and deep learning methods in traffic sign detection is critical for improving road safety and developing intelligent transportation systems. However, the scarcity of a comprehensive and publicly available dataset on Indian traffic has been a significant challenge for researchers in this field. To reduce this gap, we introduced the Indian Road Traffic Sign Detection dataset (IRTSD-Datasetv1), which captures real-world images across diverse conditions.

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1742 Views

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