Communication-Constrained Routing and Traffic Control for Autonomous Vehicles

Autonomous vehicles (AV) is an advanced technology that can bring convenience, improve the road-network throughput, and reduce traffic accidents. To enable higher levels of automation (LoA), massive amounts of sensory data need to be uploaded to the network for processing, and then, maneuvering decisions must be returned to the AV. Furthermore, passengers might have a higher transmission rate demands for various data-hungry and delay-sensitive applications.

[1]  Bernhard Friedrich,et al.  The Effect of Autonomous Vehicles on Traffic , 2016 .

[2]  Ronald K. Faller,et al.  A Primer on Vehicle-to-Barrier Communications: Effects of Roadside Barriers, Encroachment, and Vehicle Braking , 2016, 2016 IEEE 84th Vehicular Technology Conference (VTC-Fall).

[3]  Michael W. Levin,et al.  Improved Traffic Operations through Real-Time Data Collection and Control , 2016 .

[4]  Albert Y. S. Lam,et al.  Autonomous Vehicle Logistic System: Joint Routing and Charging Strategy , 2018, IEEE Transactions on Intelligent Transportation Systems.

[5]  Thomas L. Marzetta,et al.  Noncooperative Cellular Wireless with Unlimited Numbers of Base Station Antennas , 2010, IEEE Transactions on Wireless Communications.

[6]  Marco Pavone,et al.  Routing autonomous vehicles in congested transportation networks: structural properties and coordination algorithms , 2016, Autonomous Robots.

[7]  Ratna Babu Chinnam,et al.  Optimal Routing for Plug-In Hybrid Electric Vehicles , 2017, Transp. Sci..

[8]  Abbas Jamalipour,et al.  Wireless communications , 2005, GLOBECOM '05. IEEE Global Telecommunications Conference, 2005..

[9]  Peter Sanders,et al.  Highway Hierarchies Hasten Exact Shortest Path Queries , 2005, ESA.

[10]  Javier Gozálvez,et al.  IEEE 802.11p vehicle to infrastructure communications in urban environments , 2012, IEEE Communications Magazine.

[11]  Rose Qingyang Hu,et al.  Mobility-Aware Edge Caching and Computing in Vehicle Networks: A Deep Reinforcement Learning , 2018, IEEE Transactions on Vehicular Technology.

[12]  Vicente Milanés Montero,et al.  An Intelligent V2I-Based Traffic Management System , 2012, IEEE Transactions on Intelligent Transportation Systems.

[13]  Richard Mayson,et al.  SPEEDING Effects on hazard perception and reaction time , 2011 .

[14]  Madjid Tavana,et al.  Autonomous vehicles: challenges, opportunities, and future implications for transportation policies , 2016, Journal of Modern Transportation.

[15]  Wei Huang,et al.  The Shortest Path Problem on a Fuzzy Time-Dependent Network , 2012, IEEE Transactions on Communications.

[16]  Peter Sanders,et al.  Engineering Fast Route Planning Algorithms , 2007, WEA.

[17]  Veronika Shivaldova,et al.  Vehicular Link Performance: From Real-World Experiments to Reliability Models and Performance Analysis , 2013, IEEE Vehicular Technology Magazine.

[18]  Anastasios K. Papazafeiropoulos.  Impact of General Channel Aging Conditions on the Downlink Performance of Massive MIMO , 2016, IEEE Transactions on Vehicular Technology.

[19]  Xiaohu Ge,et al.  Ultra-Reliable Low-Latency Communications in Autonomous Vehicular Networks , 2019, IEEE Transactions on Vehicular Technology.

[20]  Andrea J. Goldsmith,et al.  Duality, achievable rates, and sum-rate capacity of Gaussian MIMO broadcast channels , 2003, IEEE Trans. Inf. Theory.

[21]  Erik G. Larsson,et al.  Massive MIMO for next generation wireless systems , 2013, IEEE Communications Magazine.

[22]  Shin-Lin Shieh,et al.  5G New Radio: Waveform, Frame Structure, Multiple Access, and Initial Access , 2017, IEEE Communications Magazine.

[23]  Qingquan Li,et al.  Hierarchical model of road network for route planning in vehicle navigation systems , 2009, IEEE Intelligent Transportation Systems Magazine.

[24]  Tao Wang,et al.  Energy-aware Vehicle Routing in Networks with Charging Nodes , 2014, 1401.6478.

[25]  Wei Huang,et al.  The Shortest Path Problem on a Time-Dependent Network With Mixed Uncertainty of Randomness and Fuzziness , 2016, IEEE Transactions on Intelligent Transportation Systems.

[26]  Byonghyo Shim,et al.  Ultra-Reliable and Low-Latency Communications in 5G Downlink: Physical Layer Aspects , 2017, IEEE Wireless Communications.