Intelligent Bus System Research Articles

Interactive Design of Bus Station Suitable for Aging Based on Sensory Enhancement

Aiming at the problem of the sensory function decline in the elderly, the research intends to improve the optimal aging of bus stops by sensory enhancement interaction design. Though observing the behavior of the elderly and combining the user’s journey map and the KANO model to explore the elderly’s waiting needs at the bus station, it is concluded that the use of visual amplification, voice prompts, handrail dependence and other aspects of sensory enhancement can well improve the interactive design of bus station suitable for the elderly with weak senses, solve the problem of poor information interaction between the elderly and the bus station, and provide ideas for the aging intelligent bus system in the future.

Counting crowds using a scale-distribution-aware network and adaptive human-shaped kernel

Intelligent bus system plays a key role in the modern smart city. The number of passengers in the buses or at the stations is necessary for making an optimal scheduling policy of public buses. We develop a crowd counting algorithm to provide the counting information for a bus dispatch system in a human–machine system. In consideration of the challenges (e.g., pedestrian occlusions, non-uniform crowd distributions, and scale variations) existed in hand-crafted features based crowd counting, a scale-distribution-aware multi-column convolutional neural network (SDA-MCNN) is presented to count crowds by summing up the output (denoted as the density map) of the SDA-MCNN. The SDA-MCNN is robust to scale variations by processing a crowd image with multiple convolutional neural network (CNN) columns and minimizing the per-scale loss. A weighted Euclidean loss is proposed to handle non-uniform crowd distributions. The loss can increase activations in dense regions and restrain activations in backgrounds. A new approach to estimate perspective maps of dense crowds is put forward to offer necessary information for generating density maps with human-shaped kernels. Evaluations on benchmarks are performed with other state-of-the-art counting approaches using deep neural networks. Comparative results verify the accuracy of our counting approach in challenging crowds. Evaluations on the real world BUS data reveal the accuracy of the proposed approach in counting passengers in spite of the complex environment.

Standard Architecture of China Intelligent Bus Systems

This paper summarizes the ITS standards of China, and designs the standard architecture of intelligent bus system, including the technical specifications on devices, communication protocols, data resource, and application software being implemented. The development efforts will update the intelligent bus system architecture to ensure interoperability among devices, protocols, databases, and application systems; and it will increase reusability of the devices and systems of intelligent bus system; and integrate the operations among bus companies, bus industry, and management agencies.

An Intelligent Bus System Based on Internet of Things for Urban Environments

An Intelligent Bus System Based on Internet of Things for Urban Environments

Exploring Passengers’ Travel Behaviors Based on Elaboration Likelihood Model under the Impact of Intelligent Bus Information

The ubiquitous intelligent transportation infrastructure in metropolitan cities has enabled bus passengers to access comprehensive (even real-time) bus information. However, the impact of different types of information on passenger behavior is still insufficiently understood. Combining with the theory of information processing path, this study partially fills this gap by adopting an elaboration likelihood model (ELM) suitable for explaining how the various types of intelligent bus information influence passengers’ choice behavior. Six types of intelligent bus information (information of bus lines, estimated travel time, estimated time of arrival, congestion inside bus, road congestion, and bus fare) are used as six independent variables, and passengers’ departure time, travel routes, and travel modes as dependent variables. Valid questionnaire assessments were collected from 285 participants at 4 bus stops equipped with intelligent bus system in Harbin, providing quantitative data to verify each hypothesis. The results show that six types of intelligent bus information to different degrees (significant influence, slight influence, and no significant influence) affect three types of passengers’ choice behaviors; the information of estimated travel time and that of road congestion are both significantly effective in all three types of choice behavior while bus fare has no significant influence. Meanwhile, other types of information have a significant or slight effect on certain behavior. The results of this study can be used to design more reasonable intelligent bus information provision strategies to meet passengers’ requirements.

Design of Intelligent Bus Positioning Based on Internet of Things for Smart Campus

In order to improve the means of bus dispatch, improve the efficiency of bus operations, and implement a smart campus, the design of an intelligent bus positioning system, which is based on the Internet of Things, is studied. This paper first discusses the location awareness of IoT nodes and the location awareness of multi-source positioning to achieve intelligent perception of the environment. Then, the overall design of the intelligent bus system of IoT is carried out, and the design idea of the three-tier network hierarchy based on the perception layer, the network layer, and the application layer is given. The system uses RFID technology to track, locate, and monitor buses. The touch screens at bus stops can count the number of passengers waiting for each bus, and the electronic bus-stop boards can publish the arrival time of each bus and some other information. The Zigbee wireless network technology is used to achieve communication between the vehicle terminal, platform system, and dispatch monitoring center. Finally, the simulated annealing algorithm is used to achieve intelligent bus scheduling, improve the quality and efficiency of bus service to meet the travel needs of citizens.

Construction of Control Terminal on Intelligent Bus

Recently, intelligent bus system has been applied progressively in Medium-sized cities to solve the problems of traffic jam. The control terminal on bus, an important composition of Intelligent Bus System, is introduced in this paper. It adopt at91sam9260 as the core chip, connected GPS module and GPRS module by 232 serials port to realize bus stop Announcement, bus location, and data transmission. Through this device, efficiency is improved and traffic pressure is relieved.

Dynamic and Partial FPGA Exploitation

<para xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> Today's field programmable gate array (FPGA) architectures, like Xilinx's Virtex-II series, enable partial and dynamic run-time self-reconfiguration. This feature allows the substitution of parts of a hardware design implemented on this reconfigurable hardware, and therefore, a system can be adapted to the actual demands of applications running on the chip. Exploiting this possibility enables the development of adaptive hardware for a huge variety of applications. A novel method for communication interfaces using look up table (LUT)-based communication primitives enables an exact separation of reconfigurable parts and a fast and intelligent bus-system. A new adaptive software/hardware reconfigurable system is presented in this paper, using a real application in the automotive domain implemented on a Xilinx Virtex-II 3000 FPGA to present results. </para>