Evaluation of Different Vehicle Following Models Under Mixed Traffic Conditions

Kanagaraj, Venkatesan; Asaithambi, Gowri; Kumar, Chetan; Srinivasan, Karthik K.; Sivanandan, R.

doi:10.1016/j.sbspro.2013.11.132

Cited by 61 publications

(33 citation statements)

References 12 publications

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“…Simulative verification is another vital aspect in the domain of C-ITS because it is impractical to construct a large-scale transportation environment of intelligent vehicles [51]. So, simulation has been widely concerned and adopted when exploring autonomous driving and cooperative mechanisms [52][53][54]. As is well known, there exists a series of famous traffic simulators, such as SUMO, OMNET++, Veins, MovSim etc.…”

Section: Simulation and Verificationmentioning

confidence: 99%

Service-Oriented Cooperation Policies for Intelligent Ground Vehicles Approaching Intersections

et al. 2018

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With the coming of intelligent vehicles and vehicular communication, Intelligent Transportation Systems (ITS) of connected vehicles are emerging and now evolving to Cooperative-ITS (C-ITS), as service platforms for smart cities. Considering new service properties, the autonomous cooperation of such vehicles has exhibited novel QoS features that imply new requirements: guaranteeing the traffic efficiency of any emergent vehicle while trying to promote the throughput at an intersection. So, after analyzing the classic reservation-based cooperation mechanisms, new QoS-oriented cooperation methods and policies are studied in this work. Concretely, several models of related traffic objects we have proposed are firstly introduced briefly. Then, the scheduling policies of vehicles approaching an intersection have been presented, including three existing policies (FAFP-SV, FAFP-SQ, and HQEP-SV) and five new polices (FAFP-SQ-SV, FAFP-MQ, HWFP-SQ, HWFP-SQ-SV, HWFP-MQ). These policies combine two major factors: vehicular priority for scheduling and concurrency in traffics. The first one includes the vehicular arrival-time, priority mapped to QoS, and the weight of reserved vehicles on a lane etc. In addition, the second refers to schedule a platoon rather than single vehicle each time, or platoons on different lanes instead of one platoon on only one lane. All these policies have been implemented, and further, verified within the parameter-configurable traffic simulator QoS-CITS (v2.1) we designed and developed with C#. Abundant experiments have been conducted with configured typical traffic scenes, and experimental results show that HWFP-SQ-SV and HWFP-MQ can guarantee both the QoS of emergent vehicles and traffic throughput better than other six policies.

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Section: Simulation and Verificationmentioning

confidence: 99%

Service-Oriented Cooperation Policies for Intelligent Ground Vehicles Approaching Intersections

et al. 2018

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“…Because of the difference in driving behaviors, vehicle stopping time, driver response time, and vehicle acceleration, traffic simulation results can vary greatly in real life . Therefore, to make the traffic simulation more realistic, an appropriate vehicle mobility model must be selected.…”

Section: Related Work and Related Workmentioning

confidence: 99%

An efficient adaptive intelligent routing system for multi-intersections

Guizani

Hsieh

2016

Wirel. Commun. Mob. Comput.

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With the rapid development of wireless technologies and the growing emphasis on vehicle safety, many vehicular ad hoc network applications have been extensively used. This study attempts to use vehicular ad hoc network technologies for autonomous driving to improve and reduce traffic congestion and vehicle waiting time. Therefore, this study proposes an adaptively intelligent routing system, which uses V2V communications to increase vehicle speed, allows vehicles to communicate with traffic control systems, arranges appropriate vehicle routes based on queuing theory, and uses traffic signals for information exchange. The timing of traffic signals is decided according to road traffic density. To decrease vehicle waiting time at intersections, every vehicle's speed is adjusted based on the distance between the vehicle and the traffic signals. In the simulation, automated vehicles and a more realistic car-following model are taken into consideration and vehicle speeds are regulated based on speed limits and safe following distance on most roads. The simulation result reveals that our proposed adaptively intelligent routing system outperforms periodic system in average vehicle speed and average waiting time at both single and double cross intersections.

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“…In addition, vehicles on the same lane must travel in sequence and with a safe distance between them as prescribed by assistant systems [29], which have been also modeled as car-following models in traffic simulators [30]. Hence, competitions mainly exist among vehicles on different lanes.…”

Section: B Expansion and Refinement Of P T Wmentioning

confidence: 99%

“…To verify the proposed models and algorithms, we initially implement them within a scheduling simulator, in which vehicles are randomly generated with Poisson Distribution, described as Formula (10) [31], and the Krauss car-following model [30] is adopted. During experiments, the variable k is set to 1, t is not smaller than 1(second), and λ is assigned within [0.15, 0.2], all these values can support a higher vehicle density that is more meaningful to verify our proposed mechanisms than that with smaller λ, where the performance of sPriorFIFO will become indistinctive because urgent vehicles are few blocked.…”

Section: A Scenarios and Parameters Setmentioning

confidence: 99%

State-Driven Priority Scheduling Mechanisms for Driverless Vehicles Approaching Intersections

Zhang

Fortelle

et al. 2015

IEEE Trans. Intell. Transport. Syst.

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Scheduling driverless vehicles with different priorities to pass through intersections efficiently and safely has been becoming an important passing-through intersection (PTI) problem in the field of novel intelligent traffic systems (ITS), which is increasingly becoming cyber-physical-fused and social-serviceoriented. Considering new emerging features with possible priorities, a novel centralized priority scheduling mechanism is mainly explored in this paper. First, related pivotal aspects of environment and driverless vehicles are modeled by fusing their physical and kinematic characters. Based on these models, PTI-related motions are further abstracted as several reservation-oriented standard states and actions. Then, an event-triggered and state-driven autonomous control procedure is designed. By mapping vehicular relations in spatiotemporal domain into time-distance windows, a universal passing-through principle, rules, and priority-based scheduling mechanisms are proposed and described in detail. Finally, a priority scheduling algorithm sPriorFIFO is proposed and designed. These models and mechanisms are then implemented within an algorithm simulator, through which scheduling performances are verified and evaluated.

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Evaluation of Different Vehicle Following Models Under Mixed Traffic Conditions

Cited by 61 publications

References 12 publications

Service-Oriented Cooperation Policies for Intelligent Ground Vehicles Approaching Intersections

Service-Oriented Cooperation Policies for Intelligent Ground Vehicles Approaching Intersections

An efficient adaptive intelligent routing system for multi-intersections

State-Driven Priority Scheduling Mechanisms for Driverless Vehicles Approaching Intersections

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