Applications of artificial intelligence in transport: An overview
The rapid pace of developments in Artificial Intelligence (AI) is providing unprecedented
opportunities to enhance the performance of different industries and businesses, including …
opportunities to enhance the performance of different industries and businesses, including …
Autonomous vehicles: challenges, opportunities, and future implications for transportation policies
This study investigates the challenges and opportunities pertaining to transportation policies
that may arise as a result of emerging autonomous vehicle (AV) technologies. AV …
that may arise as a result of emerging autonomous vehicle (AV) technologies. AV …
Multi-agent deep reinforcement learning to manage connected autonomous vehicles at tomorrow's intersections
GP Antonio, C Maria-Dolores - IEEE Transactions on Vehicular …, 2022 - ieeexplore.ieee.org
In recent years, the growing development of Connected Autonomous Vehicles (CAV),
Intelligent Transport Systems (ITS), and 5G communication networks have led to the advent …
Intelligent Transport Systems (ITS), and 5G communication networks have led to the advent …
A survey on autonomous vehicle control in the era of mixed-autonomy: From physics-based to AI-guided driving policy learning
This paper serves as an introduction and overview of the potentially useful models and
methodologies from artificial intelligence (AI) into the field of transportation engineering for …
methodologies from artificial intelligence (AI) into the field of transportation engineering for …
Integrated optimization of traffic signals and vehicle trajectories at isolated urban intersections
Existing traffic signal control systems only allocate green time to different phases to avoid
conflicting vehicle movements. With advances in connected and automated vehicle (CAV) …
conflicting vehicle movements. With advances in connected and automated vehicle (CAV) …
A multiclass cell transmission model for shared human and autonomous vehicle roads
MW Levin, SD Boyles - Transportation Research Part C: Emerging …, 2016 - Elsevier
Autonomous vehicles have the potential to improve link and intersection traffic behavior.
Computer reaction times may admit reduced following headways and increase capacity and …
Computer reaction times may admit reduced following headways and increase capacity and …
Deep learning for reliable mobile edge analytics in intelligent transportation systems: An overview
Intelligent transportation systems (ITSs) will be a major component of tomorrow's smart
cities. However, realizing the true potential of ITSs requires ultralow latency and reliable …
cities. However, realizing the true potential of ITSs requires ultralow latency and reliable …
Signal control optimization for automated vehicles at isolated signalized intersections
Z Li, L Elefteriadou, S Ranka - Transportation Research Part C: Emerging …, 2014 - Elsevier
Traffic signals at intersections are an integral component of the existing transportation
system and can significantly contribute to vehicular delay along urban streets. The current …
system and can significantly contribute to vehicular delay along urban streets. The current …
Effects of autonomous vehicle ownership on trip, mode, and route choice
MW Levin, SD Boyles - Transportation Research Record, 2015 - journals.sagepub.com
Autonomous vehicles (AVs) may significantly change traveler behavior and network
congestion. Empty repositioning trips allow travelers to avoid parking fees or share the …
congestion. Empty repositioning trips allow travelers to avoid parking fees or share the …
A survey on intersection management of connected autonomous vehicles
Intersection management of Connected Autonomous Vehicles (CAVs) has the potential to
improve safety and mobility. CAVs approaching an intersection can exchange information …
improve safety and mobility. CAVs approaching an intersection can exchange information …