Finding the ‘faster’ path in vehicle routing

Author:

Guo Jing1,Wu Yaoxin2,Zhang Xuexi2,Zhang Le3,Chen Wei2,Cao Zhiguang2,Zhang Lu4,Guo Hongliang5

Affiliation:

1. Advanced Robotic Center (ARC)National University of SingaporeSingaporeSingapore

2. School of AutomationGuangdong University of TechnologyPeople's Republic of China

3. Advanced Digital Sciences Center (ADSC), the Singapore‐based research center of the University of Illinois at Urbana‐Champaign (UIUC)Singapore

4. Energy Research Institute @ NTU (ERIAN)Nanyang Technological UniversitySingapore

5. School of Automation EngineeringUniversity of Electronic Science and Technology of China2006 Xiyuan Avenue, Gaoxin West ZoneChengduPeople's Republic of China

Publisher

Institution of Engineering and Technology (IET)

Subject

Law,Mechanical Engineering,General Environmental Science,Transportation

Reference44 articles.

1. IsaacG.LangeT.: ‘Split routing as a part of the urban navigation’.19th ITS World Congress 2012 pp.1–8

2. LiS.MengM.‐H.ChenW.et al.: ‘Sp‐nn: a novel neural network approach for path planning’.IEEE Int. Conf. on Robotics and Biomimetics 2007 (ROBIO 2007) 2007 pp.1355–1360

3. Public transport travel‐time variability definitions and monitoring;Le M.K.;J. Transp. Eng.,2015

4. Factors affecting travel times on urban radial routes;Montgromery F.;Traffic Eng. Control,1987

5. Optimal Routing for Maximizing the Travel Time Reliability

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