Impacts of Autonomous Cars from a Traffic Engineering Perspective

Tettamanti, Tamás; Varga, István; Szalay, Zsolt

doi:10.3311/pptr.9464

Cited by 73 publications

(50 citation statements)

References 4 publications

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“…Modifications (e.g. application of virtual lights) are needed in traffic control [6], and new traffic management policies are necessary to optimize trajectories, speeds and routes [7].…”

Section: Introductionmentioning

confidence: 99%

Framework for planning the mobility service based on autonomous vehicles

Földes

Csiszár

2018

2018 Smart City Symposium Prague (SCSP)

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Abstract-Autonomous vehicles (AVs) facilitate alteration in the passenger transportation. Shared, demand-driven mobility services based on small-capacity AVs emerge in urban areas. In order to provide highly personalized services and to enhance the acceptance of AVs, the user expectations are to be revealed. The research question is what kind of information is needed to plan various service types with the consideration of user expectations and operational constraints. Accordingly, the planning functions, as well as their input and output data have been identified. Then, the connections between the functions have been explored. In order to provide input data for planning functions, we have elaborated a data collection method applying a questionnaire survey with stated preferences. Based on the survey data correlations could be revealed between socio-demographic characteristics or mobility habits and expected mobility service attributes. The results can be used as a framework for planning mobility services based on AVs.

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“…Modifications (e.g. application of virtual lights) are needed in traffic control [6], and new traffic management policies are necessary to optimize trajectories, speeds and routes [7].…”

Section: Introductionmentioning

confidence: 99%

Framework for planning the mobility service based on autonomous vehicles

Földes

Csiszár

2018

2018 Smart City Symposium Prague (SCSP)

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“…Upcoming technologies of autonomous vehicles require well-defined environmental perception (Tettamanti et al 2016). However, weather conditions can influence the output data of various sensors that is why sensor fu-sion algorithms should be designed to evaluate environmental information.…”

Section: Introductionmentioning

confidence: 99%

Technological Measures of Forefront Road Identification for Vehicle Comfort and Safety Improvement

2019

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This paper presents the technological measures currently being developed at institutes and vehicle research centres dealing with forefront road identification. In this case, road identification corresponds with the surface irregularities and road surface type, which are evaluated by laser scanning and image analysis. Real-time adaptation, adaptation in advance and system external informing are stated as sequential generations of vehicle suspension and active braking systems where road identification is significantly important. Active and semi-active suspensions with their adaptation technologies for comfort and road holding characteristics are analysed. Also, an active braking system such as Anti-lock Braking System (ABS) and Autonomous Emergency Braking (AEB) have been considered as very sensitive to the road friction state. Artificial intelligence methods of deep learning have been presented as a promising image analysis method for classification of 12 different road surface types. Concluding the achieved benefit of road identification for traffic safety improvement is presented with reference to analysed research reports and assumptions made after the initial evaluation.

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“…In this fashion, only information of special group of society who are more active on using cell phone is acquired. The event-based data are also used in [3]- [7], etc.…”

Section: Literature Reviewmentioning

confidence: 99%

“…They generated set of possible trajectories based on the right probability distribution. Authors in [3] to map match the trajectories, made a set of probable transportation network trajectories by incremental assignment between each pair of origin and destination, then chose the best trajectory which had the shortest squared deviations between each point of mobile data trajectory to that network trajectory. …”

Section: Literature Reviewmentioning

confidence: 99%

Route Choice Estimation Using Cell Phone Data

Taghipour

Shafahi

2016

MATEC Web Conf.

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Abstract. Nowadays development of cell phone network provides huge and ubiquitous data, with wide application in transportation science. One of the most important advantages of these kinds of data is enabling the process of collecting information without any active users' interference. A big data set consisting of 300,000 cell phone users' information in Shiraz are studied. This data set includes spatiotemporal information of travelers for every 5 minutes in a time span of 40 hours in two consecutive days. The spatial part of each user's information contains the position of the BTS (Base Transceiver Station) to which his cell phone is currently connected. Due to the existence of outliers, it is necessary to smooth the data initially. One of the main reasons of errors in the data set is ping pong handover, which leads to false transitions and must be eliminated. After the data preparation, stay locations are determined for each user and a trajectory for each pair of origin and destination is estimated. At this step based on network information of the city, a method to match trajectories with the network map is applied. Finally the obtained results indicate whether travelers choose the shortest path or other possible alternatives.

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Impacts of Autonomous Cars from a Traffic Engineering Perspective

Cited by 73 publications

References 4 publications

Framework for planning the mobility service based on autonomous vehicles

Framework for planning the mobility service based on autonomous vehicles

Technological Measures of Forefront Road Identification for Vehicle Comfort and Safety Improvement

Route Choice Estimation Using Cell Phone Data

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