To better understand mixed traffic flow characteristics, based on the original IDM model (for regular vehicles) and CACC model (for connected vehicles), a generic car-fol...
Abstract:
In the upcoming decades, connected vehicles will join regular vehicles on the road, and the characteristics of traffic flows will change accordingly. To better understand...Show MoreMetadata
Abstract:
In the upcoming decades, connected vehicles will join regular vehicles on the road, and the characteristics of traffic flows will change accordingly. To better understand mixed traffic flow (regular vehicles and connected vehicles) characteristics, a generic car-following modeling framework for this new mixed traffic flow on an urban road under a connected vehicle environment is proposed in this paper. Considering a vehicle’s speed, which is affected by the speed of the preceding vehicle, an improved intelligent driver model (IDM) is used as the car-following model for regular vehicles. An extended cooperative adaptive cruise control (CACC) based on the nonlinear dynamic headway strategy was established as the car-following model for connected vehicles. The fundamental diagram model of mixed traffic flow under different market penetration rates of CACC vehicles is investigated, and the traffic flow operation mechanism of connected vehicles is analyzed to improve the capacity. In addition, simulation experiments on urban roads are designed to evaluate the queue time and length of vehicles passing through congested sections under different market penetration rates of CACC vehicles. The results demonstrate that the proposed model can effectively describe the current situation of traffic flow on urban roads under different market penetration rates of CACC vehicles. The increase in the market penetration rates of CACC vehicles can significantly improve the traffic flow efficiency. When CACC vehicles reach 100% of all vehicles, the queue length on congested roads can be shortened by 64.6%, and the total travel time on congested roads can be reduced by 48.3%.
To better understand mixed traffic flow characteristics, based on the original IDM model (for regular vehicles) and CACC model (for connected vehicles), a generic car-fol...
Published in: IEEE Access ( Volume: 9)
Funding Agency:
Faculty of Maritime and Transportation, Ningbo University, Ningbo, China
Jiangsu Province Collaborative Innovation Center for Modern Urban Traffic Technologies, Nanjing, China
National Traffic Management Engineering and Technology Research Center Ningbo University Sub-Center, Ningbo, China
Zuping Cao was born in Yangzhou, Jiangsu, China, in 1995. He received the B.E. degree in mechanical engineering from the Nanjing University of Technology, Nanjing, China, in 2018. He is currently pursuing the master’s degree in transportation engineering with Ningbo University. His research interests include intelligent transportation systems and traffic flow modeling.
Zuping Cao was born in Yangzhou, Jiangsu, China, in 1995. He received the B.E. degree in mechanical engineering from the Nanjing University of Technology, Nanjing, China, in 2018. He is currently pursuing the master’s degree in transportation engineering with Ningbo University. His research interests include intelligent transportation systems and traffic flow modeling.View more
Faculty of Maritime and Transportation, Ningbo University, Ningbo, China
Jiangsu Province Collaborative Innovation Center for Modern Urban Traffic Technologies, Nanjing, China
National Traffic Management Engineering and Technology Research Center Ningbo University Sub-Center, Ningbo, China
Lili Lu received the B.S.Eng., M.S.Eng., and Ph.D. degrees in transportation planning and management from Southeast University, Nanjing, China, in 2010, 2013, and 2016, respectively. From 2014 to 2015, she was a joint Ph.D. Student with the University of California, Berkeley. Since 2016, she has been with the Faculty of Maritime and Transportation, Ningbo University, China, where she is currently an Associate Professor. H...Show More
Lili Lu received the B.S.Eng., M.S.Eng., and Ph.D. degrees in transportation planning and management from Southeast University, Nanjing, China, in 2010, 2013, and 2016, respectively. From 2014 to 2015, she was a joint Ph.D. Student with the University of California, Berkeley. Since 2016, she has been with the Faculty of Maritime and Transportation, Ningbo University, China, where she is currently an Associate Professor. H...View more
Faculty of Maritime and Transportation, Ningbo University, Ningbo, China
Jiangsu Province Collaborative Innovation Center for Modern Urban Traffic Technologies, Nanjing, China
National Traffic Management Engineering and Technology Research Center Ningbo University Sub-Center, Ningbo, China
Chen Chen was born in Suqian, Jiangsu, China, in 1997. He received the B.E. degree in mechanical engineering from Yanshan University, Qinhuangdao, China, in 2018. He is currently pursuing the master’s degree in transportation engineering with Ningbo University. His research interests include intelligent transportation systems and evacuation modeling.
Chen Chen was born in Suqian, Jiangsu, China, in 1997. He received the B.E. degree in mechanical engineering from Yanshan University, Qinhuangdao, China, in 2018. He is currently pursuing the master’s degree in transportation engineering with Ningbo University. His research interests include intelligent transportation systems and evacuation modeling.View more
Faculty of Maritime and Transportation, Ningbo University, Ningbo, China
Jiangsu Province Collaborative Innovation Center for Modern Urban Traffic Technologies, Nanjing, China
National Traffic Management Engineering and Technology Research Center Ningbo University Sub-Center, Ningbo, China
Xu Chen was born in Taizhou, Jiangsu, China, in 1996. He received the B.E. degree in traffic engineering from the Suzhou University of Science and Technology, Suzhou, China, in 2019. He is currently pursuing the master’s degree in transportation engineering with Ningbo University. His research interest includes traffic flow modeling.
Xu Chen was born in Taizhou, Jiangsu, China, in 1996. He received the B.E. degree in traffic engineering from the Suzhou University of Science and Technology, Suzhou, China, in 2019. He is currently pursuing the master’s degree in transportation engineering with Ningbo University. His research interest includes traffic flow modeling.View more
Contents Faculty of Maritime and Transportation, Ningbo University, Ningbo, China
Jiangsu Province Collaborative Innovation Center for Modern Urban Traffic Technologies, Nanjing, China
National Traffic Management Engineering and Technology Research Center Ningbo University Sub-Center, Ningbo, China
Zuping Cao was born in Yangzhou, Jiangsu, China, in 1995. He received the B.E. degree in mechanical engineering from the Nanjing University of Technology, Nanjing, China, in 2018. He is currently pursuing the master’s degree in transportation engineering with Ningbo University. His research interests include intelligent transportation systems and traffic flow modeling.
Zuping Cao was born in Yangzhou, Jiangsu, China, in 1995. He received the B.E. degree in mechanical engineering from the Nanjing University of Technology, Nanjing, China, in 2018. He is currently pursuing the master’s degree in transportation engineering with Ningbo University. His research interests include intelligent transportation systems and traffic flow modeling.View more
Faculty of Maritime and Transportation, Ningbo University, Ningbo, China
Jiangsu Province Collaborative Innovation Center for Modern Urban Traffic Technologies, Nanjing, China
National Traffic Management Engineering and Technology Research Center Ningbo University Sub-Center, Ningbo, China
Lili Lu received the B.S.Eng., M.S.Eng., and Ph.D. degrees in transportation planning and management from Southeast University, Nanjing, China, in 2010, 2013, and 2016, respectively. From 2014 to 2015, she was a joint Ph.D. Student with the University of California, Berkeley. Since 2016, she has been with the Faculty of Maritime and Transportation, Ningbo University, China, where she is currently an Associate Professor. Her research interests include pedestrian traffic and intelligent transportation systems.
Lili Lu received the B.S.Eng., M.S.Eng., and Ph.D. degrees in transportation planning and management from Southeast University, Nanjing, China, in 2010, 2013, and 2016, respectively. From 2014 to 2015, she was a joint Ph.D. Student with the University of California, Berkeley. Since 2016, she has been with the Faculty of Maritime and Transportation, Ningbo University, China, where she is currently an Associate Professor. Her research interests include pedestrian traffic and intelligent transportation systems.View more
Faculty of Maritime and Transportation, Ningbo University, Ningbo, China
Jiangsu Province Collaborative Innovation Center for Modern Urban Traffic Technologies, Nanjing, China
National Traffic Management Engineering and Technology Research Center Ningbo University Sub-Center, Ningbo, China
Chen Chen was born in Suqian, Jiangsu, China, in 1997. He received the B.E. degree in mechanical engineering from Yanshan University, Qinhuangdao, China, in 2018. He is currently pursuing the master’s degree in transportation engineering with Ningbo University. His research interests include intelligent transportation systems and evacuation modeling.
Chen Chen was born in Suqian, Jiangsu, China, in 1997. He received the B.E. degree in mechanical engineering from Yanshan University, Qinhuangdao, China, in 2018. He is currently pursuing the master’s degree in transportation engineering with Ningbo University. His research interests include intelligent transportation systems and evacuation modeling.View more
Faculty of Maritime and Transportation, Ningbo University, Ningbo, China
Jiangsu Province Collaborative Innovation Center for Modern Urban Traffic Technologies, Nanjing, China
National Traffic Management Engineering and Technology Research Center Ningbo University Sub-Center, Ningbo, China
Xu Chen was born in Taizhou, Jiangsu, China, in 1996. He received the B.E. degree in traffic engineering from the Suzhou University of Science and Technology, Suzhou, China, in 2019. He is currently pursuing the master’s degree in transportation engineering with Ningbo University. His research interest includes traffic flow modeling.
Xu Chen was born in Taizhou, Jiangsu, China, in 1996. He received the B.E. degree in traffic engineering from the Suzhou University of Science and Technology, Suzhou, China, in 2019. He is currently pursuing the master’s degree in transportation engineering with Ningbo University. His research interest includes traffic flow modeling.View more