Results 51 to 60 of about 55,964 (261)

Modelling Behaviour of Shuttle Service Users and Preference towards a Proposed Bus Rapid Transit Line

open access: yes, 2020
This paper analyses the behaviour of university students in their mode selection and their preference towards a proposed bus rapid transit (BRT) line in Karachi, Pakistan.
Afzal Ahmed
semanticscholar   +1 more source

Changes in Transit Use and Service and Associated Changes in Driving Near a New Light Rail Transit Line, MTI Report 12-44 [PDF]

open access: yes, 2015
Los Angeles is pursuing possibly the most ambitious rail transit investment program in the nation with plans to open six new rail transit lines between now and 2019.
Boarnet, Marlon   +3 more
core   +1 more source

Accurate and Anti‐Interference Control of Computer Vision‐Assisted Light‐Driven Liquid Crystal Elastomer Actuator

open access: yesAdvanced Intelligent Systems, Volume 7, Issue 3, March 2025.
This article introduces a computer vision‐assisted control strategy for light‐driven liquid crystal elastomer actuators. Through negative feedback regulation, the liquid crystal elastomer actuator exhibits accurate and stable bending deformation in complex environments.
Wei Zhang   +6 more
wiley   +1 more source

Non-Ridership Presumption Toward New Bus Rapid Transit Purwokerto-Purbalingga Execution

open access: yes, 2020
A R T I C L E I N F O A B S T R A C T Article history: Received: 11 June, 2020 Accepted: 17 August, 2020 Online: 28 August, 2020 Bus Rapid Transit in Purwokerto-Purbalingga is a new mass transportation mode.
Fauzan Romadlon
semanticscholar   +1 more source

Improving Livability Using Green and Active Modes: A Traffic Stress Level Analysis of Transit, Bicycle, and Pedestrian Access and Mobility [PDF]

open access: yes, 2017
Understanding the relative attractiveness of alternatives to driving is vitally important toward lowering driving rates and, by extension, vehicle miles traveled (VMT), traffic congestion, greenhouse gas (GHG) emissions, etc.
Appleyard, Bruce   +2 more
core   +1 more source

Deep Q‐Network‐Based Hierarchical Path Planning of a Biped Wall‐Climbing Robot for Window Cleaning

open access: yesAdvanced Intelligent Systems, Volume 7, Issue 7, July 2025.
This article presents a biped wall‐cleaning climbing robotic system for the maintenance of multi‐isolated areas on exoskeleton‐structured windows (ESWs). A full coverage cleaning approach is proposed by integrating a deep Q‐network‐based method with the robotic system to address the complete coverage cleaning path planning problem.
Weijian Zhang   +3 more
wiley   +1 more source

Engineering Analysis of Bus Rapid Transit (BRT) systems at Corridor III Karachi.

open access: yes, 2020
12 Abstract— A sustainable urban transport system has become a unified part of development in any country. Public adequacy of sustainable transport measures is a challenge for developing cities such as Karachi, where mobility to all income groups of the ...
Nimra Noor
semanticscholar   +1 more source

Bus rapid transit [PDF]

open access: yes, 2002
Effective public transit is central to development. For the vast majority of developing city residents, public transit is the only practical means to access employment, education, and public services, especially when such services are beyond the viable ...
Wright, Lloyd
core  

A Synthesized Neural Control System for Bioinspired Robots to Achieve Diverse Locomotion

open access: yesAdvanced Intelligent Systems, EarlyView.
A novel hexapod robot named RENS H2 based on the synthesized neural control system. The control system is constructed based on the central pattern generator and virtual motoneurons network, serving as the foundation of the behavioral network. It encompasses omnidirectional movement, regulation of motor neuron intensity, sensorimotor integration, local ...
Chunchao Liu, Yaguang Zhu, Zhigang Han
wiley   +1 more source

Elevator dynamic monitoring and early warning system based on machine learning algorithm

open access: yesIET Networks, EarlyView., 2022
In order to monitor and warn the elevator dynamics, in this work, the machine learning algorithm is introduced, and the particle swarm algorithm is used to perfect the model. The model is optimised, and the experimental comparison shows that the optimisation of the model parameters can further improve the accuracy of the elevator load prediction. Then,
Shuai Zhang, Qiangguo Yin, Jinlong Wang
wiley   +1 more source

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