A Novel Model Representation Framework for Cooperative Intelligent Transport Systems

Obaid, Mohammed; Szalay, Zsolt

doi:10.3311/pptr.13759

Cited by 9 publications

(8 citation statements)

References 27 publications

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“…AVs will partially reduce or even eliminate human factors from traffic flow, reducing gap for lane changing, headway, reaction time using 360-degree sensors and cameras expected to increase road capacity, leading to lower congestion [3]. Communications and the exchange of information between AVs and the infrastructure, the Cooperative Intelligent Transportation System (C-ITS), is valuable to identify the traffic states on urban roads [4,5]. Moreover, it provides more information for intersection control, applying the best actions to improve traffic operations [6].…”

Section: Introductionmentioning

confidence: 99%

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Macroscopic Traffic Simulation of Autonomous Vehicle Effects

Obaid

Török

2021

Vehicles

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The increasing worldwide demand on urban road transportation systems requires more restrictive measures and policies to reduce congestion, time delay and pollution. Autonomous vehicle mobility services, both shared and private, are possibly a good step towards a better road transportation future. This article aims to study the expected impact of private autonomous vehicles on road traffic parameters from a macroscopic level. The proposed methodology focuses on finding the different effects of different combinations of autonomous vehicle penetration and Passenger Car Units (PCU) on the chosen road traffic model. Four parameters are studied: traveled daily kilometers, daily hours, total daily delay and average network speed. The analysis improves the four parameters differently by implementing autonomous vehicles. The parameter total delay has the most significant reduction. Finally, several mathematical models are developed for the percentage of improvement for each chosen parameter.

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Section: Introductionmentioning

confidence: 99%

“…5 PCU equal to 37.87% of base scenario delay. Implementation of AVs with different factors has also increases mean network speed by 4.08%, reaching 45.20 km/h compared to43.43 …”

mentioning

confidence: 99%

Macroscopic Traffic Simulation of Autonomous Vehicle Effects

Obaid

Török

2021

Vehicles

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“…The initial estimations on GHG emission reduction for AVs can be expected from a minimal impact to 80% reduction by 2050 for light-duty vehicles. The most significant emission reduction by AVs is the change in the mobility model [31,32] As mentioned above, fuel consumption can be reduced by eco-driving, which is faster and has relatively lower costs than changing the whole fleet to more advanced vehicles [33,34]. Eco-driving showed an improvement in fuel efficiency by up to 45% [35].…”

Section: Autonomous Vehicles(avs)mentioning

confidence: 99%

A Comprehensive Emissions Model Combining Autonomous Vehicles with Park and Ride and Electric Vehicle Transportation Policies

2021

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Several transport policies reduce pollution levels caused by private vehicles by introducing autonomous or electric vehicles and encouraging mode shift from private to public transport through park and ride (P&R) facilities. However, combining the policies of introducing autonomous vehicles with the implementation of electric vehicles and using the P&R system could amplify the decrease of transport sector emissions. The COPERT software has been used to calculate the emissions. This article aims to study these policies and determine which combinations can better reduce pollution. The result shows that each combination of autonomous vehicles reduces pollution to different degrees. In conclusion, the shift to more sustainable transport modes through autonomous electric vehicles and P&R systems reduces pollution in the urban environment to a higher percentage. In contrast, the combination of autonomous vehicles has lower emission reduction but is easier to implement with the currently available infrastructure.

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“…These questions are still in discussion and the answers are uncertain. Driven by the development of technology, the AVs are to be incorporated into MaaS [6,7]. Several applications exist to fulfill the MaaS requirements; however, what are the available functions on the application of MaaS based on AVs?…”

Section: Maas Smartphone Applicationmentioning

confidence: 99%

“…The literature about services of shared autonomous vehicles (SAVs) is summarized in a comprehensive review paper [8], regarding aspects of (1) Traffic and Safety, (2) Travel behavior, (3) Economy, (4) Transport supply, (5) Land use, (6) Environment, (7) Governance. An SAV typology is proposed and concluded that the deployment of AVs may be as shared autonomous mobility services.…”

Section: Maas Smartphone Applicationmentioning

confidence: 99%

Concept of Mobile Application for Mobility as a Service Based on Autonomous Vehicles

Csiszár

2020

Sustainability

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Mobility as a service (MaaS) is proposed to encourage travelers to choose sustainable mobility options and reduce use of individual car. In the future, mobility services based on autonomous vehicles (AVs) are also incorporated into MaaS. The objective of our work is to elaborate the concept of mobile application, aiding the MaaS based on AVs. We applied a system engineering process-oriented approach to determine the information system components, the functions as well as input and output data. Functions of back-end information system operation and front-end interface of application have been identified, as well as the information flows have been modeled. We highlighted the main differences between MaaS and MaaS based on AVs. We found that recording of event-based points and feedback management are regarded as pivot functions in this self-travel service. Our results facilitate the development of smartphone application for the MaaS based on AVs.

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A Novel Model Representation Framework for Cooperative Intelligent Transport Systems

Cited by 9 publications

References 27 publications

Macroscopic Traffic Simulation of Autonomous Vehicle Effects

Macroscopic Traffic Simulation of Autonomous Vehicle Effects

A Comprehensive Emissions Model Combining Autonomous Vehicles with Park and Ride and Electric Vehicle Transportation Policies

Concept of Mobile Application for Mobility as a Service Based on Autonomous Vehicles

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