Enhanced Mobility With Connectivity and Automation: A Review of Shared Autonomous Vehicle Systems

Zhao, Liuhui; Malikopoulos, Andreas A.

doi:10.1109/mits.2019.2953526

Cited by 69 publications

(32 citation statements)

References 131 publications

(186 reference statements)

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“…To examine the importance of connectivity on the distribution of transportation nodes in urban areas, there is a need for innovative means to identify spatial locations that will influence commuting trends. Urban planners and researchers are increasingly developing new models and frameworks to enhance transportation networks with emphasis on the interconnectivity of services [28,29]. Generally, commuters can be referred to as active agents in the mobility system, as they are a potential source for change in shifting transit-share.…”

Section: Related Workmentioning

confidence: 99%

Exploring the Interoperability of Public Transport Systems for Sustainable Mobility in Developing Cities: Lessons from Johannesburg Metropolitan City, South Africa

Gumbo

Moyo

2020

Sustainability

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There have been growing concerns with regards to the state public transportation systems, particularly in the cities of developing countries. Chief among these concerns has been the lack of well-coordinated, efficient, and reliable transportation systems. The city of Johannesburg, just like any other fast-growing municipality in developing and emerging economies, has not been spared with regards to incessant public transport challenges. Consequently, there have been collective efforts from both public and private stakeholders to invest immensely in both innovative rail and road transport systems in the past decade. This article sought to achieve twin objectives. First, the work identified the state of connectivity between the rapid rail transportation and rapid bus transit systems based on Geoweb 2.0 data. Second, the work visualized the level of connectivity between these two modes to develop and formulate policy frameworks in integrating public transit systems in cities of the developing world, learning from the metropolitan city of Johannesburg. A mixed-method approach consisting of spatial and quantitative aspects was used to examine the state of connectedness and the promotion of access and mobility between the two modes. The local Moran’s I index was used to compute node clusters within the public transport system. Results from the analysis demonstrated that both high-clusters and low-clusters exist in the public transportation network, which have a high degree of centrality. It was revealed that commuters navigate from these nodes/stops with relative ease due to the short walking radius. However, the work revealed that most rail networks and bus routes, as well as the stations and bus stops, are not connected and are not significant in the local Moran’s I index, thus, making it difficult for commuters to conveniently move from the Gautrain to the Rea Vaya bus. There are, therefore, gaps with regards to the sharing of infrastructure between the two public transport modes and systems.

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Section: Related Workmentioning

confidence: 99%

Exploring the Interoperability of Public Transport Systems for Sustainable Mobility in Developing Cities: Lessons from Johannesburg Metropolitan City, South Africa

Gumbo

Moyo

2020

Sustainability

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“…How to sense, model and manage the mixed transportation systems presents a great challenge to public agencies. To the best of our knowledge, most current studies view AVs as controllers and focus on modeling and managing the mixed traffic networks [ 17 ]. For example, novel system optimal (SO) and user equilibrium (UE) models are established to include AVs [ 18 , 19 ], coordinated intersections are proposed to improve the traffic throughput [ 20 , 21 , 22 ], vehicle platooning strategies are developed to reduce highway congestion [ 23 , 24 ], and AVs can also complement conventional vehicles to solve last-mile problems [ 25 , 26 ].…”

Section: Introductionmentioning

confidence: 99%

High-Resolution Traffic Sensing with Probe Autonomous Vehicles: A Data-Driven Approach

Qian

2021

Sensors

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Recent decades have witnessed the breakthrough of autonomous vehicles (AVs), and the sensing capabilities of AVs have been dramatically improved. Various sensors installed on AVs will be collecting massive data and perceiving the surrounding traffic continuously. In fact, a fleet of AVs can serve as floating (or probe) sensors, which can be utilized to infer traffic information while cruising around the roadway networks. Unlike conventional traffic sensing methods relying on fixed location sensors or moving sensors that acquire only the information of their carrying vehicle, this paper leverages data from AVs carrying sensors for not only the information of the AVs, but also the characteristics of the surrounding traffic. A high-resolution data-driven traffic sensing framework is proposed, which estimates the fundamental traffic state characteristics, namely, flow, density and speed in high spatio-temporal resolutions and of each lane on a general road, and it is developed under different levels of AV perception capabilities and for any AV market penetration rate. Experimental results show that the proposed method achieves high accuracy even with a low AV market penetration rate. This study would help policymakers and private sectors (e.g., Waymo) to understand the values of massive data collected by AVs in traffic operation and management.

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“…Shared AVs (SAVs) offer more potential benefits through a lower-cost on-demand service that can be flexible in both schedules and routes [5]. Currently, SAV tests are being performed worldwide, as people try to envision the emerging service format that SAVs can offer in both the near and far future [6]. Over 40 corporations are making an effort to bring AVs [7] into the automobile market.…”

Section: Introductionmentioning

confidence: 99%

SAV Operations on a Bus Line Corridor: Travel Demand, Service Frequency, and Vehicle Size

Huang

Kockelman

Truong

2021

Journal of Advanced Transportation

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Before shared automated vehicles (SAVs) can be widely adopted, they are anticipated to be implemented commercially in confined regions or fixed routes where the benefits of automation can be realized. SAVs have the potential to operate in a traditional transit corridor, replacing conventional transit vehicles, and have frequent interactions with riders and other vehicles sharing the same right of way. This paper microsimulates SAVs’ operation on a 6.5-mile corridor to understand how vehicle size and attributes of such SAV-based transit affect traffic, transit riders, and system costs. The SUMO (Simulation of Urban MObility) platform is employed to model microscopic interactions among SAVs, transit passengers, and other traffic. Results show that the use of smaller, but more frequent, SAVs leads to reduced passenger waiting times but increased vehicle travel times. More frequent services of smaller SAVs do not, in general, significantly affect general traffic due to shorter dwell times. Overall, using smaller SAVs instead of the large 40-seat SAVs can reduce system costs by up to 4% while also reducing passenger waiting times, under various demand levels and passenger loading factors. However, the use of 5-seat SAVs does not always have the lowest system costs.

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Enhanced Mobility With Connectivity and Automation: A Review of Shared Autonomous Vehicle Systems

Cited by 69 publications

References 131 publications

Exploring the Interoperability of Public Transport Systems for Sustainable Mobility in Developing Cities: Lessons from Johannesburg Metropolitan City, South Africa

Exploring the Interoperability of Public Transport Systems for Sustainable Mobility in Developing Cities: Lessons from Johannesburg Metropolitan City, South Africa

High-Resolution Traffic Sensing with Probe Autonomous Vehicles: A Data-Driven Approach

SAV Operations on a Bus Line Corridor: Travel Demand, Service Frequency, and Vehicle Size

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