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road traffic control based on genetic algorithm for reducing traffic congestion

ELECTRONICS AND COMMUNICATIONS IN JAPAN 2012年第4期95卷 11-19页

作者： Shigehiro, Yuji Miyakawa, Takuya Masuda, Tatsuya Osaka Inst Technol Osaka Japan

In this paper, we propose a road traffic control method for reducing traffic congestion with a genetic algorithm. In the not too distant future, a system which controls the routes of all vehicles in a certain area must be realized. The system should optimize the routes of all vehicles, but the solution space of this problem is enormous. Therefore, we apply the genetic algorithm to this problem by encoding the route of all vehicles to a fixed length chromosome. To improve the search performance, a new genetic operator called path shortening is also designed. The effectiveness of the proposed method is shown experimentally. (C) 2012 Wiley Periodicals, Inc. Electron Comm Jpn, 95(4): 11-19, 2012;Published online in Wiley Online Library . DOI 10.1002/ecj.10421

关键词： genetic algorithm road traffic control traffic congestion

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Development of road traffic control by using integrated VISSIM-MATLAB simulation environment

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PERIODICA POLYTECHNICA-CIVIL ENGINEERING 2012年第1期56卷 43-49页

作者： Tettamanti, Tamas Varga, Istvan Budapest Univ Technol & Econ Dept Control & Transport Automat H-1111 Budapest Hungary Hungarian Acad Sci Comp & Automat Res Inst H-1111 Budapest Hungary

The paper focuses on the simulation of signal control problems based on VISSIM microscopic simulator VISSIM is a commonly used software in practice for diverse problems related to road traffic control. Beyond the standard use of VISSIM, advanced options are available. VISSIM COM interface and VISSIM DLL API may be used as well providing freedom to the traffic engineer By exploiting the programming possibilities efficient simulations may be achieved. As additional possibility MATLAB may be involved in the traffic simulation as well creating an integrated environment with VISSIM. Thus, complex mathematical problems can be calculated online by MATLAB and used for VISSIM simulation.

关键词： microscopic traffic simulation VISSIM MATLAB COM road traffic control robust control

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Application of Mathematical Model in road traffic control at Circular Intersection

Application of Mathematical Model in Road Traffic Control at...

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International Conference on Information Computing and Applications

作者： Wang, Zhijiang Wang, Kaili Zhang, Huancheng Hebei Polytech Univ Coll Sci Tangshan 063009 Peoples R China Hebei Polytech Univ Coll Light Industry Tangshan 063009 Peoples R China

ISBN: (纸本)9783642163388

This article sets up mathematical model for any kind of traffic circle intersection to determine how best to control traffic flow. Our aim is to make the traffic at the traffic circle intersection smooth in maximum. This model figures out the largest traffic capacity through Wardrop's formula and provides signal control setting standard according to American traffic engineering design manual.

关键词： Mathematical model road traffic control circular intersection

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On the Possibility of Priority-Based road traffic control

On the Possibility of Priority-Based Road Traffic Control

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Annual Conference of the SICE

作者： Senda, Yoshiaki Tanev, Ivan Shimohara, Katstmori Doshisha Univ Grad Sch Informat Engn Kyoto 602 Japan Doshisha Univ Dept Informat Syst Design Kyoto Japan

ISBN: (纸本)9784907764302

In this paper, we propose a Priority-Based road traffic control (PBC). PBC is a sort of multi-agent system, assuming autonomous vehicles as agents, in which road traffic should be controlled through interactions between the intelligent car agents. PBC protocol is the common protocol through which the car agents negotiate their priorities when their driving lines mutually interfere, in order to determine the order of crossing a given intersection. We applied Genetic Programming to evolve the dynamic formula of setting the priorities so that the PBC protocol allows for adaptive and efficient road traffic control even without traffic signals. The conducted simulations verify the efficiency of the proposed PBC, and compared the after with some other methods. We generalize that the proposed PBC is quite efficient in that it improves the road traffic in an intersection even without the need of traffic signals.

关键词： road traffic control Multi-Agent Simulation Signal-less Intersection Genetic Programming

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Performance Evaluation of road traffic control Using a Fuzzy Cellular Model

Performance Evaluation of Road Traffic Control Using a Fuzzy...

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6th International Conference on Hybrid Artificial Intelligence Systems (HAIS)

作者： Placzek, Bartlomiej Silesian Tech Univ Fac Transport PL-40019 Katowice Poland

ISBN: (纸本)9783642212215

In this paper a method is proposed for performance evaluation of road traffic control strategies. The method is designed to be implemented in an on-line simulation environment, which enables optimisation of adaptive traffic control. Performance measures are computed using a fuzzy cellular traffic model, formulated as a hybrid system combining cellular automata and fuzzy calculus. Experimental results show that the introduced method allows the performance to be evaluated using imprecise traffic data. The fuzzy definitions of performance measures are convenient for uncertainty determination in traffic control decisions.

关键词： fuzzy numbers cellular automata road traffic control

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On the possibility of Priority-Based road traffic control

On the possibility of Priority-Based Road Traffic Control

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SICE Annual Conference

作者： Yoshiaki Senda Ivan Tanev Katsunori Shimohara Graduate School of Information Engineering Doshisha University Kyoto Japan Department of Information Systems Design Doshisha University Kyoto Japan

ISBN: (纸本)9784907764296

In this paper, we propose a priority-based road traffic control (PBC). PBC is a sort of multi-agent system, assuming autonomous vehicles as agents, in which road traffic should be controlled through interactions between the intelligent car agents. PBC protocol is the common protocol through which the car agents negotiate their priorities when their driving lines mutually interfere, in order to determine the order of crossing a given intersection. We applied genetic programming to evolve the dynamic formula of setting the priorities so that the PBC protocol allows for adaptive and efficient road traffic control even without traffic signals. The conducted simulations verify the efficiency of the proposed PBC, and compared the latter with some other methods. We generalize that the proposed PBC is quite efficient in that it improves the road traffic in an intersection even without the need of traffic signals.

关键词： road traffic control Multi-Agent Simulation Signal-less Intersection Genetic Programming

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Intersection Signal-Vehicle Coupled Coordination With Mixed Autonomy Vehicles

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IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION 2025年第1期11卷 668-681页

作者： Chen, Mingyang Li, Bingbing Bian, Yougang Zhuang, Weichao Evangelou, Simos A. Pan, Xiao Chen, Boli UCL Dept Elect & Elect Engn London WC1E 6BT England Southeast Univ Sch Mech Engn Nanjing 211189 Peoples R China Hunan Univ Coll Mech & Vehicle Engn State Key Lab Adv Design & Mfg Technol Vehicle Changsha 410082 Peoples R China Imperial Coll London Dept Elect & Elect Engn London SW7 2AZ England

Connected and autonomous vehicles (CAVs) are predicted to alleviate traffic congestion, particularly at road intersections, which are the major bottleneck of the urban road network. This article proposes a signal-vehicle coupled optimal control strategy for mixed traffic flows of CAVs and human-driven vehicles (HDVs). The method follows a two-layer architecture, which formulates the signal-vehicle control tasks as two cascaded optimization problems by a notion of mixed platoons so that they can be efficiently solved by the central coordinator. In particular, the upper layer is designed to minimize the total waiting time of all vehicles in the intersection, while the lower layer is formulated to minimize the aggregated vehicle energy consumption by adequately exploiting the signal plan, number of crossing vehicles, and target crossing speed obtained in the upper layer. Extensive simulation results are provided to examine the performance of the proposed signal-vehicle joint control framework and to reveal the impact of the introduction of the new algorithm at different CAV penetration rates, traffic demands, and electric vehicle (EV) ratios. The comparisons with existing methods demonstrate the benefit of the proposed method in terms of fuel usage and traffic throughput.

关键词： roads Optimization Throughput Energy efficiency Delays Transportation Turning Connected vehicle energy efficiency human factors optimal control road traffic control

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Dynamic traffic signal control using mean field multi-agent reinforcement learning in large scale road-networks

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IET INTELLIGENT TRANSPORT SYSTEMS 2023年第9期17卷 1715-1728页

作者： Hu, Tianfeng Hu, Zhiqun Lu, Zhaoming Wen, Xiangming Beijing Univ Posts & Telecommun Beijing Key Lab Network Syst Architecture & Conver Beijing Peoples R China

Multi-agent reinforcement learning has played an increasingly important role in intelligent traffic signal control due to its self-learning ability. However, existing algorithms only focus on signal timing mechanism design while ignoring the exponential growth of the joint action dimension as the number of intersections increases, which will ultimately face the learning difficulty. In this paper, traditional traffic methods are introduced into MARL to flexibly determine the phase and duration of each intersection. The proposed MARL algorithm based on mean field theory has the ability to convert a large number of agents to approximately binary interaction, which can effectively reduce the dimension of joint action space in multi-agent environment and learn in a robust process. Besides, to improve the performance of traditional traffic methods, the recurrent neural network (RNN) and an improved Webster's formula with revised parameters are combined to dynamically determine the phase duration according to the historical volume of traffic flow. The simulation results indicate that the proposed algorithm shows superior scalability compared to baseline methods and has great potential to be applied in the large scale road-networks scenario.

关键词： cooperative communication learning (artificial intelligence) road traffic control signalling traffic control

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Usability and Perceived Efficiency of an Adaptive Route Optimization Solution for Commercial Vehicles

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IEEE ACCESS 2025年 13卷 61091-61108页

作者： Anghelache, Florian Goga, Nicolae Marian, Constantin Viorel Alexandru Mitrea, Dan Pavaloiu, Ionel-Bujorel iSYS Profess Res & Dev Dept Bucharest 020312 Romania Natl Univ Sci & Technol POLITEHN Bucharest Fac Engn Foreign Languages FILS Dept Engn Foreign Languages Bucharest 060042 Romania Univ Groningen Mol Dynam Grp NL-9747 AG Groningen Netherlands

This paper details the outcome of a European scientific research and development project, funded to prototype a commercial solution for vehicle fleets. While current route optimization solutions have data sources such as real-time road traffic and weather conditions, our solution was developed to offer companies a proposed plan with adapted optimized routes, considering critical operational requirements, local conditions, and drivers' driving experience. The iRoute solution consists of a module for receiving vehicle positions from GPS devices, an integration layer for end-customer applications, a route optimization engine, and applications for web and mobile users. Unlike other approaches, this innovative solution leverages historical, well-known, and familiar route data to enhance, refine, and adapt the optimized operational routes. This way, the drivers benefit from a more effective daily plan to follow based on business requirements such as locations, quantities, time, and distance. At the end of the day, adding these adjustments results in achieving up to a 20% improvement in the accuracy of executed routes, in terms of distance and time, compared to the planned route, outperforming standard optimization algorithms. This allows business owners to rely more confidently on the optimization results, providing a safer itinerary for their drivers. Also, due to lower incident rates on these known and preferred itineraries, the overall business will benefit from increased vehicle fleet availability and fewer days in service, with lower maintenance costs. The paper evaluates the usability and perceived efficiency value of the proposed solution by statistically analyzing feedback from dispatchers and business owners.

关键词： Vehicles Costs Clustering algorithms Business Routing Optimization Companies Usability Software algorithms Software Adaptive algorithms adaptive systems path planning roadmaps (technology planning) road traffic control vehicle routing

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A Two-Stage Energy-Efficiency Optimization Approach for Conflict-Free Dispatching in Open-Pit Mines

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IET INTELLIGENT TRANSPORT SYSTEMS 2025年第1期19卷

作者： Wang, Zhichao Yang, Jue Feng, Yanbiao Kang, Yiting Li, Yong Univ Sci & Technol Beijing Sch Mech Engn Beijing Peoples R China

The objective of this paper is to present a novel energy-efficiency conflict-free dispatching algorithm for autonomous mining fleets. In lieu of halting or decelerating the trucks at intersections when conflicts arise, the algorithm facilitates conflict-free dispatching for trucks to operate with the optimal speed trajectory, thereby achieving minimum fuel consumption and mining cost. This work first develops reference speed trajectories for mining trucks, considering their drivetrain characteristics, load status and geographic information pertaining to the path. Second, the total production determination model is based on the MILP model, which determines the total production of each path while taking the travel time into account with the objective of maximizing fleet production. Next, in the fleet allocation model and conflict-free scheduling model, the objectives are to reduce the fleet make span and fleet queuing time, respectively. Finally, a fleet operation timetable is eventually derived. Therefore, all trucks can operate intact according to the speed trajectory, thus minimizing fleet energy consumption and maximizing production efficiency. To verify the advantages of the model in this work, we selected DISPATCH and a multi-objective dispatching model developed by other researchers for comparison on the basis of the historical production data from an open pit coal mine. The results indicated that the proposed model exhibited the capacity to decrease the fleet size by 22.2%, thereby attaining equivalent production levels to those of a real open-pit coal mining fleet. Moreover, the model proposed in this paper can improve the production by about 36.11% to 49.75% compared to DISPATCH under the optimal speed trajectory, whereas the multi-objective dispatching model's improvement is only 9.84% to 21.89%. It also has significant advantages in terms of fleet productivity and fleet profit.

关键词： collision avoidance mining object-oriented programming road traffic control traffic management and control

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