Traffic management for last-mile public transportation systems using autonomous vehicles

2017 ◽  
Author(s):  
Koji Hasebe ◽  
Kazuhiko Kato ◽  
Hirotake Abe ◽  
Ryutaro Akiya ◽  
Masayuki Kawamoto
Keyword(s):  
Public Transportation ◽  
Autonomous Vehicles ◽  
Traffic Management ◽  
Transportation Systems ◽  
Last Mile ◽  
Public Transportation Systems

Human Factors and Advanced Traffic Management Systems

1992 ◽  
Vol 36 (15) ◽  
pp. 1068-1072
Author(s):  
Joseph I. Peters ◽  
King M. Roberts
Keyword(s):  
Human Factors ◽  
Public Transportation ◽  
Traffic Management ◽  
Transportation Systems ◽  
Management Systems ◽  
Traveler Information ◽  
Traveler Information Systems ◽  
Control Functions ◽  
Public Transportation Systems ◽  
And Control

Advanced Traffic Management Systems (ATMS) are those components of Intelligent Vehicle Highway Systems (IVHS) that integrate traffic detection, communication, and control functions to be responsive to dynamic traffic conditions and increase the efficiency of existing traffic networks. ATMS provide the management foundation that will enable and integrate other IVHS components such as Commercial Vehicle Operations, Advanced Traveler Information Systems, Advanced Vehicle Control Systems, and Advanced Public Transportation Systems. This paper defines Advanced Traffic Management Systems. It also describes the functions that may take place within an ATMS-class Traffic Management Center (TMC), a scenario that a future TMC operator may encounter, and some of the human factors issues that must be addressed in the design of an ATMS-class TMC.

scholarly journals Effects of Free-Floating Shared Bicycles on Urban Public Transportation

2019 ◽  
Vol 8 (8) ◽  
pp. 323 ◽  
Author(s):  
Cao ◽  
Ma ◽  
Huang ◽  
Lü ◽  
Chen
Keyword(s):  
Public Transportation ◽  
Sharing Economy ◽  
Transportation Systems ◽  
Problem Model ◽  
Last Mile ◽  
Service Areas ◽  
Public Transportation System ◽  
Shared Bicycle ◽  
Public Transportation Systems ◽  
The City

As a product of the development of the Internet and the sharing economy, shared bicycles are beneficial in solving the last mile problem of public transportation for urban residents and expanding the service area of urban public transportation to a certain extent. This paper analyses the spatial-temporal characteristics of shared bicycles in the city of Beijing by using kernel density estimation and statistical analysis methods. The maximum coverage location problem model is used to quantify the effects of shared bicycles on the subway and bus urban public transportation systems. The analysis results are of great importance to identify the effects of shared bicycle usage on an urban bus public transportation system from the view of space-time. The results show that (1) shared bicycles are largely located within 1.5 km from the subway station and 500 meters from the bus stations; (2) the number of the shared bicycle usage changes along with the distance from the subway and bus stations; (3) subway and bus stations are divided into six types based on the sink-source characteristics of shared bicycles; (4) the service areas of subway and bus stations are expanded by approximately 2.34 and 1.33 times, respectively, after the implementation of shared bicycles.

Intelligent Vehicle Highway Systems (IVHS): Human Factors Issues in Subsystem Development

1992 ◽  
Vol 36 (15) ◽  
pp. 1063-1063
Author(s):  
Truman M. Mast ◽  
Joseph I. Peters
Keyword(s):  
Human Factors ◽  
Public Transportation ◽  
Traffic Management ◽  
Transportation Systems ◽  
Common Element ◽  
Intelligent Vehicle ◽  
Traveler Information ◽  
Traveler Information Systems ◽  
Public Transportation Systems ◽  
Intelligent Vehicle Highway Systems

Intelligent Vehicle-Highway Systems (IVHS) is a major U.S. Department of Transportation initiative to improve the safety and efficiency of our nation's highways. IVHS includes five related components: Advanced Traffic Management Systems (ATMS); Advanced Traveler Information Systems (ATIS); Commercial Vehicle Operations (CVO); Advanced Vehicle Control Systems (AVCS); and, Advanced Public Transportation Systems (APTS). Although the Federal Highway Administration has initially chosen to address each of these components separately, a number of issues are shared by all components. One critical common element deals with the capabilities of the humans in the system. Appropriate guidelines that consider the needs and capabilities of operators, maintainers, and users will be critical for efficient functioning of each system. Efforts are underway to define and resolve critical human factors issues related to IVHS components. This symposium addresses four of the five more highway related IVHS components. For each of these components, presenters will define the key engineering characteristics, hypothetical scenarios that focus on human-system interfaces, and examples of human factors issues that must be considered in the design of IVHS systems.

Data Representation Using a Standard Data Transfer Specification

1993 ◽  
Vol 46 (2) ◽  
pp. 223-237
Author(s):  
James Killick
Keyword(s):  
Public Transportation ◽  
Traffic Management ◽  
Data Transfer ◽  
Data Representation ◽  
Transportation Systems ◽  
Digital Maps ◽  
Standard Data ◽  
Digital Road Maps ◽  
The Usa ◽  
Public Transportation Systems

In the 1990s, digital maps are being used for a wide variety of applications. In the world of digital road maps, the most notable applications are in the area of theIntelligent Vehicle Highway Systems (IVHS). In the USA IVHS is involved with five basic interrelated applications:(i) Advanced Traffic Management Systems.(ii) Advanced Vehicle Control Systems.(iii) Commercial Vehicle Operations.(iv) Advanced Public Transportation Systems.(v) Advanced Traveller Information Systems.

scholarly journals Virus Transmission Risk in Urban Rail Systems: Microscopic Simulation-Based Analysis of Spatio-Temporal Characteristics

2021 ◽  
pp. 036119812110101
Author(s):  
Jiali Zhou ◽  
Haris N. Koutsopoulos
Keyword(s):  
Public Transportation ◽  
Virus Transmission ◽  
Flow Characteristics ◽  
Transportation Systems ◽  
Transmission Risk ◽  
Microscopic Simulation ◽  
Spatial And Temporal Patterns ◽  
Subway System ◽  
Public Transportation Systems ◽  
The Impact

The transmission risk of airborne diseases in public transportation systems is a concern. This paper proposes a modified Wells-Riley model for risk analysis in public transportation systems to capture the passenger flow characteristics, including spatial and temporal patterns, in the number of boarding and alighting passengers, and in number of infectors. The model is used to assess overall risk as a function of origin–destination flows, actual operations, and factors such as mask-wearing and ventilation. The model is integrated with a microscopic simulation model of subway operations (SimMETRO). Using actual data from a subway system, a case study explores the impact of different factors on transmission risk, including mask-wearing, ventilation rates, infectiousness levels of disease, and carrier rates. In general, mask-wearing and ventilation are effective under various demand levels, infectiousness levels, and carrier rates. Mask-wearing is more effective in mitigating risks. Impacts from operations and service frequency are also evaluated, emphasizing the importance of maintaining reliable, frequent operations in lowering transmission risks. Risk spatial patterns are also explored, highlighting locations of higher risk.

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