AI Chat Paper
Discover the SciOpen Platform and Achieve Your Research Goals with Ease.
Search articles, authors, keywords, DOl and etc.
{{expandStatus?'Exit ':''}}Advanced Search
Currently, traffic problems in urban road traffic environments remain severe, traffic pollution and congestion have not been effectively improved, and traffic accidents are still frequent. Traditional traffic signal control methods have little effect on these problems. With the continuous improvement of communication technology and network connections, vehicle speed guidance provides a new idea for solving the above problems and has gradually become a popular topic in academic research. However, its generalization has shortcomings. Therefore, this paper summarizes the research on vehicle speed control strategies in urban road environments and provides suggestions for future research. In this paper, we summarize the existing research in four parts. First, we categorize existing research based on vehicle type. Second, the vehicle speed guidance problem is divided according to the problem research scene. Third, we summarize the existing literature regarding vehicle speed. Finally, we summarize the methods used for speed guidance. Through an analysis of the existing literature, it is concluded that there is a deficiency in the existing research, and suggestions for the future of vehicle speed guidance research are suggested.
Abu-Lebdeh, G., 2002. Integrated adaptive-signal dynamic-speed control of signalized arterials. J Transp Eng, 128, 447–451.
Ahn, K., Rakha, H., Trani, A., Van Aerde, M., 2002. Estimating vehicle fuel consumption and emissions based on instantaneous speed and acceleration levels. J Transp Eng, 128, 182–190.
Ahn, K., Rakha, H. A., 2013. Network-wide impacts of eco-routing strategies: A large-scale case study. Transp Res Part D Transp Environ, 25, 119–130.
Ahn, K., Rakha, H. A., Park, S., 2013. Ecodrive application. Transport Res Rec, 2341, 1–11.
Amirgholy, M., Nourinejad, M., Gao, H. O., 2020. Optimal traffic control at smart intersections: Automated network fundamental diagram. Transp Res Part B Methodol, 137, 2–18.
Asadi, B., Vahidi, A., 2011. Predictive cruise control: Utilizing upcoming traffic signal information for improving fuel economy and reducing trip time. IEEE Trans Contr Syst Technol, 19, 707–714.
Asadi, M., Fathy, M., Mahini, H., Rahmani, A. M., 2021. A systematic literature review of vehicle speed assistance in intelligent transportation system. IET Intell Transp Syst, 15, 973–986.
Ashrafur Rahman, S. M., Masjuki, H. H., Kalam, M. A., Abedin, M. J., Sanjid, A., Sajjad, H., 2013. Impact of idling on fuel consumption and exhaust emissions and available idle-reduction technologies for diesel vehicles–A review. Energy Convers Manag, 74, 171–182.
Autili, M., Chen, L., Englund, C., Pompilio, C., Tivoli, M., 2021. Cooperative intelligent transport systems: Choreography-based urban traffic coordination. IEEE Trans Intell Transp Syst, 22, 2088–2099.
Boland, A., Cherry, M. C., Dickson, R., Carden, J., 2020. Doing A systematic review: A student’s guide. Bpsicpr, 15, 119–120.
Chang, D. J., Morlok, E. K., 2005. Vehicle speed profiles to minimize work and fuel consumption. J Transp Eng, 131, 173–182.
Chen, P., Yan, C., Sun, J., Wang, Y., Chen, S., Li, K., 2018. Dynamic eco-driving speed guidance at signalized intersections: Multivehicle driving simulator based experimental study. J Adv Transp, 2018, 6031764.
Chen, W., Liu, Y., Yang, X., Bai, Y., Gao, Y., Li, P., 2015. Platoon-based speed control algorithm for ecodriving at signalized intersection. Transport Res Rec, 2489, 29–38.
Daganzo, C. F., Pilachowski, J., 2011. Reducing bunching with bus-to-bus cooperation. Transp Res Part B Methodol, 45, 267–277.
De Mello, R., Chiodi, R. D., 2018. A safe speed guidance model for highways. Int J Inj Contr Saf Promot, 25, 408–415.
Deng, Y. J., Liu, X. H., Hu, X., Zhang, M., 2020. Reduce bus bunching with a real-time speed control algorithm considering heterogeneous roadway conditions and intersection delays. J Transp Eng Part A Syst, 146, 04020048.
El-Shawarby, I., Ahn, K., Rakha, H., 2005. Comparative field evaluation of vehicle cruise speed and acceleration level impacts on hot stabilized emissions. Transp Res Part D Transp Environ, 10, 13–30.
Ericsson, E., 2001. Independent driving pattern factors and their influence on fuel-use and exhaust emission factors. Transp Res Part D Transp Environ, 6, 325–345.
Feng, Y., Yu, C., Liu, H. X., 2018. Spatiotemporal intersection control in a connected and automated vehicle environment. Transp Res Part C Emerg Technol, 89, 364–383.
Furth, P. G., Muller, T. H. J., 2000. Conditional bus priority at signalized intersections: Better service with less traffic disruption. Transport Res Rec, 1731, 23–30.
Galanis, I., Anagnostopoulos, I., Gurunathan, P., Burkard, D., 2019. Environmental-based speed recommendation for future smart cars. Future Internet, 11, 78.
Gallen, R., Hautière, N., Cord, A., Glaser, S., 2013. Supporting drivers in keeping safe speed in adverse weather conditions by mitigating the risk level. IEEE Trans Intell Transp Syst, 14, 1558–1571.
Girianna, M., Benekohal, R. F., 2004. Using genetic algorithms to design signal coordination for oversaturated networks. J Intell Transp Syst, 8, 117–129.
Guanetti, J., Kim, Y., Borrelli, F., 2018. Control of connected and automated vehicles: State of the art and future challenges. Annu Rev Contr, 45, 18–40.
Guler, S., Menendez, M., Meier, L., 2014. Using connected vehicle technology to improve the efficiency of intersections. Transp Res Part C Emerg Technol, 46, 121–131.
Guo, Y., Ma, J., 2021. DRL-TP3: A learning and control framework for signalized intersections with mixed connected automated traffic. Transp Res Part C Emerg Technol, 132, 103416.
Hao, M., Bie, Y., Zhang, L., Mao, C., 2020. Improving schedule adherence based on dynamic signal control and speed guidance in connected bus system. J Intell Connect Veh, 3, 79–88.
Head, L., Gettman, D., Wei, Z., 2006. Decision model for priority control of traffic signals. Transportation Research Record, 1978, 169–177.
Jiang, Z., Yu, D., Luan, S., Zhou, H., Meng, F., 2022. Integrating traffic signal optimization with vehicle microscopic control to reduce energy consumption in a connected and automated vehicles environment. J Clean Prod, 371, 133694.
Jiménez, F., Cabrera-Montiel, W., 2014. System for road vehicle energy optimization using real time road and traffic information. Energies, 7, 3576–3598.
Kamal, M. A. S., Mukai, M., Murata, J., Kawabe, T., 2013. Model predictive control of vehicles on urban roads for improved fuel economy. IEEE Trans Contr Syst Technol, 21, 831–841.
Kitchenham, B. Charters, S.M., 2007. Guidelines for performing systematic literature reviews in software engineering. Engineering, 45, 1051.
Lak, H. J., Gholamhosseinian, A., Seitz, J., 2022. Distributed vehicular communication protocols for autonomous intersection management. Procedia Comput Sci, 201, 150–157.
Lam, A. Y. S., Łazarz, B., Peruń, G., 2022. Smart energy and intelligent transportation systems. Energies, 15, 2900.
Leard, B., Linn, J., Munnings, C., 2019. Explaining the evolution of passenger vehicle Miles traveled in the United States. Energy J, 40, 25–54.
Li, Y., Ma, C., 2023. Short-time bus route passenger flow prediction based on a secondary decomposition integration method. J Transp Eng Part A Syst, 149, 04022132.
Li, Z., Elefteriadou, L., Ranka, S., 2014. Signal control optimization for automated vehicles at isolated signalized intersections. Transp Res Part C Emerg Technol, 49, 1–18.
Liu, H., Flores, C. E., Spring, J., Shladover, S. E., Lu, X. Y., 2022. Field assessment of intersection performance enhanced by traffic signal optimization and vehicle trajectory planning. IEEE Trans Intell Transp Syst, 23, 11549–11561.
Ma, J., Li, X., Shladover, S., Rakha, H. A., Lu, X. Y., Jagannathan, R., et al., 2016. Freeway speed harmonization. IEEE Trans Intell Veh, 1, 78–89.
Malandraki, G., Papamichail, I., Papageorgiou, M., Dinopoulou, V., 2015. Simulation and evaluation of a public transport priority methodology. Transp Res Procedia, 6, 402–410.
Mintsis, E., Vlahogianni, E. I., Mitsakis, E., 2020. Dynamic eco-driving near signalized intersections: Systematic review and future research directions. J Transp Eng Part A Syst, 146, 04020018.
Müller, E. R., Carlson, R. C., Junior, W. K., 2016. Intersection control for automated vehicles with MILP. IFAC-PapersOnLine, 49, 37–42.
Muñoz-Organero, M., Magaña, V. C., 2013. Validating the impact on reducing fuel consumption by using an EcoDriving assistant based on traffic sign detection and optimal deceleration patterns. IEEE Trans Intell Transp Syst, 14, 1023–1028.
Niroumand, R., Tajalli, M., Hajibabai, L., Hajbabaie, A., 2020. Joint optimization of vehicle-group trajectory and signal timing: Introducing the white phase for mixed-autonomy traffic stream. Transp Res Part C Emerg Technol, 116, 102659.
Olivares-Mendez, M. A., Sanchez-Lopez, J. L., Jimenez, F., Campoy, P., Sajadi-Alamdari, S. A., Voos, H., 2016. Vision-based steering control, speed assistance and localization for inner-city vehicles. Sensors, 16, 362.
Park, H., Oh, C., 2019. A vehicle speed harmonization strategy for minimizing inter-vehicle crash risks. Accid Anal Prev, 128, 230–239.
Sciarretta, A., De Nunzio, G., Ojeda, L. L., 2015. Optimal ecodriving control: Energy-efficient driving of road vehicles as an optimal control problem. IEEE Contr Syst Mag, 35, 71–90.
Sun, P., Nam, D., Jayakrishnan, R., Jin, W., 2022. An eco-driving algorithm based on vehicle to infrastructure (V2I) communications for signalized intersections. Transp Res Part C Emerg Technol, 144, 103876.
Wang, A., Ge, Y., Tan, J., Fu, M., Shah, A. N., Ding, Y., et al., 2011. On-road pollutant emission and fuel consumption characteristics of buses in Beijing. J Environ Sci, 23, 419–426.
Wang, H., Fu, L., Zhou, Y., Li, H., 2008. Modelling of the fuel consumption for passenger cars regarding driving characteristics. Transp Res Part D Transp Environ, 13, 479–482.
Wang, J., Rakha, H. A., 2016. Fuel consumption model for conventional diesel buses. Appl Energy, 170, 394–402.
Wang, M., Daamen, W., Hoogendoorn, S. P., van Arem, B., 2014. Rolling horizon control framework for driver assistance systems. Part II: Cooperative sensing and cooperative control. Transp Res Part C Emerg Technol, 40, 290–311.
Wang, Q., Gong, Y., Yang, X., 2022. Connected automated vehicle trajectory optimization along signalized arterial: A decentralized approach under mixed traffic environment. Transp Res Part C Emerg Technol, 145, 103918.
Wang, W., Zhang, Y., Gao, J., Jiang, Y., Yang, Y., Zheng, Z., et al., 2023. GOPS: A general optimal control problem solver for autonomous driving and industrial control applications. Commun Transport Res, 3, 100096.
Wu, J., Qu, X., 2022. Intersection control with connected and automated vehicles: A review. J Intell Connect Veh, 5, 260–269.
Xia, H., Boriboonsomsin, K., Barth, M., 2013. Dynamic eco-driving for signalized arterial corridors and its indirect network-wide energy/emissions benefits. J Intell Transp Syst, 17, 31–41.
Xue, Y., Zhong, M., Xue, L., Tu, H., Tan, C., Kong, Q., et al., 2022. A real-time control strategy for bus operation to alleviate bus bunching. Sustainability, 14, 7870.
Yang, H., Almutairi, F., Rakha, H., 2021. Eco-driving at signalized intersections: A multiple signal optimization approach. IEEE Trans Intell Transp Syst, 22, 2943–2955.
Yang, K., Guler, S. I., Menendez, M., 2016. Isolated intersection control for various levels of vehicle technology: Conventional, connected, and automated vehicles. Transp Res Part C Emerg Technol, 72, 109–129.
Yao, H., Li, X., 2020. Decentralized control of connected automated vehicle trajectories in mixed traffic at an isolated signalized intersection. Transp Res Part C Emerg Technol, 121, 102846.
Yu, C., Feng, Y., Liu, H. X., Ma, W., Yang, X., 2018. Integrated optimization of traffic signals and vehicle trajectories at isolated urban intersections. Transp Res Part B Methodol, 112, 89–112.
Zhang, H., Cui, H., Shi, B., 2019. A data-driven analysis for operational vehicle performance of public transport network. IEEE Access, 7, 96404–96413.
Zhang, R., Yao, E., 2015. Eco-driving at signalised intersections for electric vehicles. IET Intell Transp Syst, 9, 488–497.
Zhou, F., Li, X., Ma, J., 2017. Parsimonious shooting heuristic for trajectory design of connected automated traffic part I: Theoretical analysis with generalized time geography. Transp Res Part B Methodol, 95, 394–420.
This is an open access article under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/).
京公网安备11010802044758号