A Survey on Visual Traffic Simulation: Models, Evaluations, and Applications in Autonomous Driving

Chao, Qianwen; Bi, Huikun; Li, Weizi; Mao, Tianlu; Wang, Zhaoqi; Lin, Ming C.; Deng, Zhigang

doi:10.1111/cgf.13803

Cited by 105 publications

(48 citation statements)

References 140 publications

(199 reference statements)

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“…The problem in this formulation cannot be solved by known exact or heuristic methods [28]. The method and an appropriate simulation model (SM) have been developed and applied to solve this problem, as well as to study the influence of the forecasting horizon on the choice of speed.…”

Section: Substantiation Of the Methodology And Algorithm For Calculatmentioning

confidence: 99%

Optimization of vehicle speed forecasting horizont on the intercity highway

Oliskevych

Pelo

Prokudina

et al. 2020

EEJET

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Дослiджується рух автомобiля в магiстральному транспортному потоцi на мiжмiських маршрутах. Рух має бути енергоощадним, безпечним i уможливлювати дотримання бажаного розкладу. Розроблена методика аналiзу вхiдного потоку даних на основi iмiтацiйної моделi. Запропонований алгоритм iмiтацiйного моделювання базується на використаннi доступних iнформацiйних ресурсiв керування автомобiлем. Керування рухом пов'язане з вибором швидкостi при вiдомих дорожнiх i транспортних обмеженнях. Представлений алгоритм дає змогу зважити доцiльнiсть використання кожної з можливостей збiльшення швидкостi, впродовж прогнозованого горизонту. Змiст алгоритму полягає в оптимальному перерозподiлi ресурсiв часу. Показниками якостi контролю є абсолютнi вiдхилення вiд оптимальної енергоощадної програми вiльного руху i вiд запланованого розкладу руху. Виконано моделювання руху вантажного автопоїзда на мiжмiськiй магiстралi Е-371. Виявлено, що загальний обсяг iнформацiї зростає при збiльшеннi дистанцiї сканованого трафiку. Однак частка достовiрної iнформацiї при цьому зменшується. З'ясовано, що залежнiсть показникiв якостi контролю руху транспортного засобу вiд розмiру горизонту прогнозування є кусково-неперервною. На кожнiй неперервнiй дiлянцi залежнiсть має екстремальне значення горизонту, при якому вiдхилення вiд оптимальної програми є мiнiмальним. Отриманi результати можна застосувати в сучасних iнтелектуальних транспортних системах. Результати дослiджень дають змогу розробляти i дотримуватись оптимальних довготермiнових програм руху на магiстральних дорогах. При цьому розв'язується проблема керування великими потоками даних. Користуючись розробленою методикою, великi об'єми iнформацiї для прогнозування можна подавати частинами, з обґрунтованою перiодичнiстю Ключовi слова: iнтелектуальнi транспортнi системи, прогнозування швидкостi, аналiз потоку даних, оптимальна програма руху, магiстральнi перевезення

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Section: Substantiation Of the Methodology And Algorithm For Calculatmentioning

confidence: 99%

Optimization of vehicle speed forecasting horizont on the intercity highway

Oliskevych

Pelo

Prokudina

et al. 2020

EEJET

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“…Second, the CS approach can be applied for multimodal data capture in autonomous vehicles which have multiple sensors such as cameras and LIDAR (Li et al 2019). Third, network simulator NS-3 can be incorporated to build more realistic simulation (Chao et al 2019). A citywide traffic simulation model can also be built to evaluate the impact of the CS approach for largescale traffic state estimation, in which case the optimal number and locations of road-side units (RSUs) will be explored as well.…”

Section: Conclusion and Future Research Directionsmentioning

confidence: 99%

Efficient Data Collection and Accurate Travel Time Estimation in a Connected Vehicle Environment Via Real-Time Compressive Sensing

Lin

Peeta

2019

J. Big Data Anal. Transp.

Self Cite

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Connected vehicles (CVs) can capture and transmit detailed data such as vehicle position and speed through vehicle-tovehicle and vehicle-to-infrastructure communications. The wealth of CV data provides new opportunities to improve safety and mobility of transportation systems, which can overburden storage and communication systems. To mitigate this issue, we propose a compressive sensing (CS) approach that allows CVs to capture and compress data in real-time and later recover the original data accurately and efficiently. We evaluate our approach using two case studies. In the first study, we use our approach to recapture 10 million CV basic safety message (BSM) speed samples as well as other BSM variables. The results show that we can recover the original speed data with root-mean-squared error as low as 0.05 MPH. In the second study, a freeway traffic simulation model is built to evaluate the impact of our approach on travel time estimation. Multiple scenarios with various CV market penetration rates, On-board unit (OBU) capacities, compression ratios, arrival rate patterns, and data capture rates are simulated for our experiments. As a result, our approach provides more accurate estimation than conventional data collection methods by achieving up to 65% relative reduction in travel time estimation error. With a low compression ratio, our approach can still provide accurate estimation, therefore reducing OBU hardware costs. Lastly, our approach can improve travel time estimation accuracy when CVs are in traffic congestion as it provides a broader spatial-temporal coverage of traffic conditions and can accurately and efficiently recover the original CV data.

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“…These innovative unconventional intersection designs can accommodate higher traffic volumes with reduced delays in travel time [3]. This can be done by eliminating some of the phases from the signal timing plans and reducing the number of traffic conflict points within the major intersection area [4]. The unconventional intersection designs improve the Level Of Service (LOS) of at-grade intersections without the need for grade-separated interchanges, but they suffer from safety and accessibility issues that may affect the decision to apply them at a certain location [5].…”

Section: Introductionmentioning

confidence: 99%

The Effect of Modifying Double Continuous Flow Intersections Layout Geometric Features on their Operation

Khliefat¹,

Deeb²,

Mubarak³

et al. 2021

TOTJ

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Introduction: Continuous flow interventions were first introduced as an alternative to improve traffic operations in the intersections with severe congestion caused by heavy left-turn movements. Objective: This study quantified the effect of modifying the intersection angles of Double Continuous Flow Intersections (DCFI) on their operational characteristics. Mainly, the effects of changing the intersection angle between the different approaches of the main intersection and the angle of the minor cross-over intersections were investigated. Methods: VISSIM software simulation models were used for modifying several design features related to the DCFI and the operational performance was compared between the different simulation scenarios. Results and Discussion: Changes to the cross-over intersection angle increase the safety levels by providing better channelization of traffic movements on the minor intersections of the DCFI and reduce the intersection footprint to be used at high-density urban locations. Increasing the cross-over intersection angle and changing the layout geometry have adverse effects on the capacity of the conventional DCFI. This is mainly because of the added curvature in the intersection approaches which reduces the vehicle speeds, therefore reducing the overall capacity of the modified intersection when compared to the conventional DCFI. However, the total footprint for the intersection is reduced for the modified layout geometry, which improves the capacity of the DCFI. Conclusion: The study has explored the effects of modifying the DCFI intersection angles to fit the limited space in major urban areas on the capacity and performance of the intersection. It showed that DCFI designs could be applied in areas with limited space availability and skewed intersection angles.

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A Survey on Visual Traffic Simulation: Models, Evaluations, and Applications in Autonomous Driving

Cited by 105 publications

References 140 publications

Optimization of vehicle speed forecasting horizont on the intercity highway

Optimization of vehicle speed forecasting horizont on the intercity highway

Efficient Data Collection and Accurate Travel Time Estimation in a Connected Vehicle Environment Via Real-Time Compressive Sensing

The Effect of Modifying Double Continuous Flow Intersections Layout Geometric Features on their Operation

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