Results 1 to 10 of about 7,105,066 (255)
A systematic literature review of vehicle speed assistance in intelligent transportation system
Due to the emergence of new technologies over the past decade, vehicle speed assistance systems in intelligent transportation systems have frequently been discussed.
Mehrdad Asadi +3 more
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It is widely acknowledged that verifying the safety of autonomous driving strategies requires a substantial body of simulation testing and road testing. In recent years, the formal safety methods represented by Responsibility‐Sensitive Safety (RSS) have ...
Can Zhao +4 more
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Evaluation of data‐driven performance measures for comparing and ranking traffic bottlenecks
Traffic analysis procedures are becoming more robust over time. However, there is still significant room for improvement both in practitioners’ adoption of robust methods and in robustness of the methods themselves. One example of oversimplified practice
David Hale +3 more
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C‐ITS road‐side unit deployment on highways with ITS road‐side systems: A techno‐economic approach
Connectivity and cooperation are considered important prerequisites to automated driving, as they are crucial elements in increasing the safety of future automated vehicles and their full integration in the overall transport system.
Thibault Degrande +4 more
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Link Load Correlation-Based Blocking Performance Analysis for Tree-Type Data Center Networks
With the explosive growth of cloud computing applications, the east-west traffic among servers has come to occupy the dominant proportion of the traffic in data center networks (DCNs).
Long Suo, Lijun Qi, Li Wang
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Owing to the limited range, battery electric vehicle drivers are likely to worry about being stranded in range‐critical situations, known as range anxiety.
Zengkai Wang, Shengkui Zeng, Jianbin Guo
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An agile vehicle‐based dynamic user equilibrium scheme for urban traffic signal control
Traffic Signal Control (TSC) is a fundamental task in modern intelligent transport systems. TSC is often formulated as a bi‐level optimization problem, comprised by the signal timing at the upper level and the Dynamic User Equilibrium (DUE) traffic ...
Wei‐Li Liu +4 more
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Advances in connected and autonomous vehicles have the promise to reshape the future of the transportation system. How and when the benefits associated with automation and connectivity technology will start to impact the performance of an urban corridor ...
Guojing Hu +4 more
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Deep imitation reinforcement learning for self‐driving by vision
Deep reinforcement learning has achieved some remarkable results in self‐driving. There is quite a lot of work to do in the area of autonomous driving with high real‐time requirements because of the inefficiency of reinforcement learning in exploring ...
Qijie Zou +3 more
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Performance evaluation of a mobile hotspot supporting quasi‐random traffic
The authors study and evaluate a mobility‐aware call admission control algorithm in a mobile hotspot. More specifically, a vehicle which has an access point of a fixed capacity and may alternate between stop and moving phases is considered.
Marinos Vlasakis +3 more
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