Browse Topic: Public transportation systems
Since the COVID-19 pandemic that advanced contactless service, robots are increasingly being seen conducting routine deliveries around hospitals and hotels. Developed by Robotise Technologies, JEEVES is one such autonomous service robot used in hotels, healthcare facilities, offices, airports, and other settings. Its main duty is to transport materials and products.
In the evolving landscape of automated driving systems, the critical role of vehicle localization within the autonomous driving stack is increasingly evident. Traditional reliance on Global Navigation Satellite Systems (GNSS) proves to be inadequate, especially in urban areas where signal obstruction and multipath effects degrade accuracy. Addressing this challenge, this paper details the enhancement of a localization system for autonomous public transport vehicles, focusing on mitigating GNSS errors through the integration of a LiDAR sensor. The approach involves creating a 3D map using the factor graph-based LIO-SAM algorithm, which is further enhanced through the integration of wheel encoder and altitude data. Based on the generated map a LiDAR localization algorithm is used to determine the pose of the vehicle. The FAST-LIO based localization algorithm is enhanced by integrating relative LiDAR Odometry estimates and by using a simple yet effective delay compensation method to
The impending deployment of automated vehicles (AVs) represents a major shift in the traditional approach to ground transportation; its effects will inevitably be felt by parties directly involved with vehicle manufacturing and use (e.g., automotive original equipment manufacturers (OEMs), public transportation systems, heavy goods transportation providers) and those that play roles in the mobility ecosystem (e.g., aftermarket and maintenance industries, infrastructure and planning organizations, automotive insurance providers, marketers, telecommunication companies). The focus of this chapter is to address a topic overlooked by many who choose to view automated driving systems and AVs from a “10,000-foot perspective:” the topic of how AVs will communicate with other road users such as conventional (human-driven) vehicles, bicyclists, and pedestrians while in operation. This unsettled issue requires assessing the spectrum of existing modes of communication—both implicit and explicit
This document includes recommendations of installations of adequate landing and taxiing lighting systems in aircraft of the following categories: a Single engine personal and/or liaison type b Light twin engine c Large multiengine propeller d Large multiengine turbojet e Military high-performance fighter and attack f Helicopter g Electric Vertical Takeoff and Landing (EVTOL) and Urban Air Mobility (UAM)
This specification covers runway deicing and anti-icing products in the form of a liquid. Unless otherwise stated, all specifications referenced herein are latest (current) revision.
This specification covers a runway deicing and anti-icing product in the form of a solid. Unless otherwise stated, all specifications referenced herein are latest (current) revision.
India is a highly populous country. The traffic problems faced by the people here are not uncommon. The increase in traffic leads to increase in accidents, pollution, inconvenience and frustration. It also comes with costs of additional fuel and time. Though public transport is extensively available in India, still it isn't sufficient for the population of India. Especially in Metro cities, public transport services are often crowded. So, to travel peacefully people are opting for commuting in their own vehicles. And as a result, more vehicles are coming on roads. Other major reasons for increasing traffic are lack of proper implementation of traffic rules and traffic signals out of sync. In addition to city traffic, congestion is also seen on highways, mainly at toll plazas. Although implementation of FASTag has reduced it to some extent, some toll plazas still face traffic congestion issues. This paper provides an idea to ease the traffic problems in the city and on the highways too
The transport sector in all domains like personal vehicles, public transport and logistics has seen a tremendous growth over the past decade, more so in the last 5 years. The main reasons for this rapid growth is the development of new energy storage systems in battery technology (Lithiumion, sodium ion, aluminum air etc.), hydrogen fuel cells, super capacitors etc. On the other hand there has been tremendous development in the motor drive technology with the availability of brushless dc motors (BLDC Motors), induction motors, Permanent magnet synchronous motors (PMSM, IPMSM). Each motor having its own special characteristics and usage suited for a very specific application in terms of torque and load bearing capacities. In this paper we describe a unique platform with twin motor drive system electric vehicle which is powered by an artificial intelligence (AI) enabled electronic module DuoPackR. The basic platform is described with the help of a bicycle which has two BLDC motors on the
Prime concern for electric vehicle where the application of the vehicle is public transport, is the charging of vehicle and operation of its infrastructure. Such an example of operating the EV buses is under the GCC (gross cost contract) model, with high operation time and comparatively lesser time for charging. It is challenging to meet these requirements. To counter this situation in fleet operated busses it is proposed to adapt an automated charging method which involves minimum man power intervention and automated mechanism to connect & disconnect the charging connectors. This paper proposes an automated pantograph mechanism based method of charging EV buses, meeting requirements as per SAE J3105 & ISO 15118 standards, which would be an ideal way to resolve the current situation. In the above mentioned pantograph type charging, the charging station or depot will have an infrastructure including charger whose input will be from grid, and the charging dispenser will be pantographs
Given the rapid advancement of connected and automated transportation, its applications have significantly increased. They are being studied worldwide to shape the future of mobility. Key promises are a more comfortable, efficient and socially adapted kind of mobility. As part of the EU Horizon2020 project SHared automation Operating models for Worldwide adoption (SHOW), the Karlsruhe Test Site in the Test Area Autonomous Driving Baden-Württemberg (TAF-BW) addresses aspects of scalability to overcome challenges, which have so far hindered market penetration of this future-oriented kind of mobility. The explored services, including passenger and cargo transport, are closely linked to the daily travel requirements of road users, particularly in peri-urban areas, to cover the last mile of their journeys, connecting them to public transport. The provided high-definition maps and the smart and intelligent roadside infrastructure of TAF-BW facilitate the testing and evaluation of automated
More airports are starting to adopt and test the use of radio frequency (RF) mitigation techniques to counter the operation of unmanned aircraft systems (UAS) in violation of civilian airspace rules. While civilian aviation regulatory agencies are welcoming the integration of more commercially operated UAS into civilian airspace, airports are responding to the growing number of incidents in recent years with counter measures to ensure drones do not interfere with regular operations. In the U.S., the Federal Aviation Authority (FAA) now receives more than 100 reports per month from pilots that have observed UAS operating near airports or within a restricted area of civilian airspace. The problem is a unique one for the FAA and other civilian aviation regulatory agencies who want to unleash as much commercial UAS innovation as possible within civilian airspace, but simultaneously recognize rogue operators are a problem. The FAA's method for addressing the operation of drones near
An extensive evaluation of the Deep Image Prior (DIP) technique for image inpainting on Synthetic Aperture Radar (SAR) images. Air Force Research Laboratory, Wright Patterson Air Force Base, OH Synthetic Aperture Radar (SAR) images are a powerful tool for studying the Earth's surface. They are radar signals generated by an imaging system mounted on a platform such as an aircraft or satellite. As the platform moves, the system emits sequentially high-power electromagnetic waves through its antenna. The waves are then reflected by the Earth's surface, re-captured by the antenna, and finally processed to create detailed images of the terrain below. SAR images are employed in a wide variety of applications. Indeed, as the waves hit different objects, their phase and amplitude are modified according to the objects' characteristics (e.g., permittivity, roughness, geometry, etc.). The collected signal provides highly detailed information about the shape and elevation of the Earth's surface
Electrification of public transport in cities puts lots of stress onto the vehicle's traction batteries and the power grid during charging. The authors present a self-learning operating strategy to improve the battery life and reduce stress on the power grid by lengthening charging operations as long as possible and avoiding extreme states of charge. During regular service operation, the operating strategy observes the vehicle state and energy flows inside of the vehicle and between vehicle and charging infrastructure. Based on these observations, the operating strategy plans a guidance state of charge trajectory for the trip and dispatches recommendations for charging and discharging the traction battery to the vehicle's ECU. Additionally, the operating strategy ensures reliable service trips by checking if the current state of charge matches the estimated energy consumption for a fixed range laying ahead. The operating strategy can detect and mitigate a situation in which the vehicle
Surveillance cameras are becoming more commonplace in public environments, as well as finding use in private security and military operations. We are particularly interested in scenarios where a single pan-tilt-zoom (PTZ) camera is used to perform surveillance in large outdoor environments, which may include 360-degree horizontal coverage and depths out to 1 km or more. These scenarios exist in many environments such as security for building exteriors, airports, highways, parking lots, and property perimeters; anomaly detection in dense urban environments; and surveillance in military overwatch missions. In environments with many vertical obscurations (e.g., trees and buildings), ground-based cameras will need to be carefully located to provide long-range views. As the elevation of the camera is increased above the ground level, by placement on tall poles or building rooftops, for example, obtaining views of distant regions becomes easier.
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