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Yushan Li and Satoshi Fujita
This paper proposes a novel event-driven architecture for enhancing edge-based vehicular systems within smart transportation. Leveraging the inherent real-time, scalable, and fault-tolerant nature of the Elixir language, we present an innovative architec...
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Raihanah Adawiyah Shaharuddin and Md Yushalify Misro
Urbanised city transportation simulation needs a wide range of factors to reflect the influence of certain real-life events accurately. The vehicle composition and the timing of the traffic light signal scheduling play an important role in controlling th...
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Jian Gong, Weijie Chen and Ziyi Zhou
This paper proposes a distributed coordination scheme for connected vehicles, including automated vehicles (AVs) and manual vehicles (MVs), at signal-free intersections. The cooperation issue of vehicles at an intersection is formulated into a multi-obje...
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Wenchao Shen, Liang Zou, Ruisheng Deng, Hongyu Wu and Jiabin Wu
To investigate the issue of multi-entry bus priority at intersections, an intelligent priority control method based on deep reinforcement learning was constructed in the bus network environment. Firstly, a dimension reduction method for the state vector ...
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Xuehao Zhai, Fangce Guo and Rajesh Krishnan
Bus bunching is a severe problem that affects the service levels of public transport systems. Most of the previous studies in the field of Bus Signal Priority (BSP) and Transit Signal Priority (TSP) focus on reducing a bus delay at signalised intersectio...
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Lei Nie, Qifeng Wang, Mingxuan Zhang and Libing Wu
Optimizing traffic signal timing can effectively alleviate urban traffic congestion. However, most of the existing signal timing methods struggle to deal with conflicting traffic flows in heavy traffic; therefore, more effective methods are urgently requ...
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S.M. Labib, Hossain Mohiuddin, Irfan Mohammad Al Hasib, Shariful Hasnine Sabuj and Shrabanti Hira
A growing body of research has applied intelligent transportation technologies to reduce traffic congestion at signalized intersections. However, most of these studies have not considered the systematic integration of traffic data collection methods when...
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Data-driven intelligent transportation systems (D2ITSs) have drawn significant attention lately. This work investigates a novel multi-agent-based data-driven distributed adaptive cooperative control (MA-DD-DACC) method for multi-direction queu...
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A signalized intersection is a high fuel consumption and high emission node of a traffic network. It is necessary to study the emission characteristics of vehicles at signalized intersections in order to reduce vehicle emissions. In this study, the combi...
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Qi Yang, Ramachandran Balakrishna, Daniel Morgan, Howard Slavin
Pág. 1290 - 1299
We present a highly detailed, microscopic Dynamic Traffic Assignment (DTA) framework with sufficient fidelity to address emergent and future planning and operations applications. Congestion patterns are estimated at the lane level with explicit modeling ...
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