An Analysis of Traffic Conflicts as a Tool for Sustainable Road Transport
Abstract
:1. Introduction
2. Materials and Methods
- The measurement of traffic intensities using various technical devices, either directly (automatic counters) or indirectly (detecting intensities from videos recorded with various types of video equipment).
- Video analysis of traffic conflicts (when using video recordings from which the intensity of the transport was also measured, in some cases).
2.1. Technical Equipment and Software for Adding Traffic Intensities and Video Analysis of Traffic Conflicts
2.1.1. Counter Devices for Traffic Intensities
2.1.2. Video Technology for Recording Road Traffic
2.1.3. UAV (Unmanned Aerial Vehicle)
- DJI F450 quadcopter: equipped with a GORPO HERO 3 camera (the camera uses “fisheye”);
- MAVIC 2 ZOOM: the drone has a camera with zoom (24–48 mm);
- DJI Matrice 210 RTK: the drone has a 4K camera, zoom camera with 30× zoom and RTK;
- Phantom 4 Pro V2: the drone has a camera for recording video in 4K.
2.1.4. Software for Analysis of Image
2.2. Video Analysis of Traffic Conflicts: Description of Authors’ Method
2.2.1. The Term Traffic Conflict
2.2.2. Classification Symbol and Division of Traffic Conflicts
- Participants in the traffic conflict (in the example above, it is the number “2”): these are either individuals (pedestrians, vehicle, etc.) or pairs or groups of road users (pedestrian + vehicle, vehicle + vehicle, etc.), and it is possible to modify or supplement this category as needed (including the modification or addition of used characters);
- The method of the traffic conflict (letter “r” in the example): these are groups of traffic conflicts, which can be arbitrarily supplemented, for example, according to the purpose of the analysis or the type of monitored intersection, and the characters used are also optional (examples are given later in Section 3);
- The seriousness of the traffic conflict (number “1” in the example; before the dash): this division was maintained according to Folprecht’s original proposals (see the next paragraph for details).
- First level of seriousness: a situation in which traffic regulations are about to be violated at that time by a lone road user, i.e., without the presence of others who could be limited or endangered (it is a potential traffic conflict);
- Second level of seriousness: a situation in which a certain disruption of smooth transport can be observed, i.e., situations that do not provoke a violent reaction by other participants but rather hesitation or mild aggressiveness of single misconduct that results in a reaction of other participants;
- Third level of seriousness: a situation in which only a rapid evasive reaction (e.g., sharp braking or sudden deflection) prevents a collision (i.e., the accident);
- If an accident happens, we mark this situation with the number 4.
- Own traffic conflicts (O): traffic conflicts that are directly related to the traffic at the monitored location, its construction layout, its management, etc.;
- Non-own traffic conflicts (X): traffic conflicts that are not directly related to the traffic at the monitored location, its construction layout, etc., but instead arise from outside the monitored location (however, they will affect traffic at the monitored location).
- Primary traffic conflicts (1): traffic conflicts that are not caused by another situation;
- Subsequent traffic conflicts (2): traffic conflicts that are caused by other conflicts (usually by the primary or possibly another subsequent conflict).
- Operational traffic conflicts: a traffic conflict caused only by the driver (or another road user);
- Construction traffic conflict: a traffic conflict caused not only by the driver but also (and mainly) by improperly designed building elements.
2.2.3. Procedure for Video Analysis of Traffic Conflicts in Order to Identify Inappropriately Designed Construction Elements at Intersections
- On the basis of researchers’ observations and experience, a problematic intersection is identified, traffic participants are suggested, the passage of the intersection is verified using swept paths, etc.
- The place is monitored by identifying features such as broken curbs, dark tracks on the curbs from the tires of passing vehicles, etc. However, it is necessary to note that not all of the mentioned features must be caused by improperly designed building elements (but may be due to winter maintenance, previous accidents, etc.).
- The video recording of the entire intersection (i.e., basic video recording) is retrieved to get an overall picture of the traffic at the intersection with the identification of problem areas. From the video, it is also possible to determine the basic characteristics of traffic flows (intensity of vehicles, composition of traffic flows and their direction, etc.). The most suitable location for the camera is at a certain height above the level of the intersection, e.g., from a building or bridge.
- Detailed video recordings are acquired from places where, according to the evaluation of the basic video recording, the danger of construction conflict situations is evident, or places where these situations can be expected. The camera is placed at the level of the intersection at the point with the best view of the given site. In any case, improper placement of the camcorder must not restrict the flow of traffic or endanger traffic safety.
- Video recordings are evaluated either in a standard way or by detailed analysis of the video recording by stepping through individual images and comparing various changes, e.g., the vertical position of the wheel that ran into the curb, towards the wheelhouse, etc.
- The results of the video analysis can then be recorded in tabular form, which states information such as the exact times of emergence of the traffic conflicts, the situations (denoted by a classification symbol), a brief description of traffic conflicts with a possible warning of important or special circumstances, etc. The tabular evaluation also includes data on the frequency of traffic conflicts and, if necessary, indicators of relative conflict (see below).
- Graphic evaluation is then performed by depicting traffic conflicts, e.g., in a ground scheme or in a photograph from a video recording. When using schemes, it is advisable to use two of them. In the first one, appropriate signs indicate the location of the traffic conflict as accurately as possible, and the number of these signs indicates the frequency of the conflict. The second scheme then shows a simplified course of the conflict, from which, among other things, the direction of travel of vehicles and the place of emergence of the conflict are clarified. The use of schemes is suitable for high frequencies of traffic conflicts. On the contrary, at low frequencies or to explain the course of the emergence of the conflict, the use of photography is sufficient (see the figures in Section 3).
- The collection of detailed photographic documentation and the creation of video sequences of specific traffic conflicts are a matter of course. If necessary, it is advisable to verify the passage of the given place using swept paths.
- In the end, a proposal of measures in order to improve the continuity of traffic and increase traffic safety at the monitored intersection should be made.
2.2.4. Weighted Relative Conflict Indicator
3. Results of Analyses
3.1. Not Giving Way (to Vehicles on the Circulatory Roadway)
3.2. Unwanted Intertwining of Vehicles (Direct Passage)
3.3. Unwanted Change of Direction (Crossing of Paths)
3.4. Unwanted Guidance of Vehicles (Crossing Due to an Inappropriate Approach)
3.5. Shortening of Vehicle Path (Crossing from the Outer Lane to the Inner Lane at the Entrance to the Turbo-Roundabout)
- Step 1: Vehicle 1 should continue in its lane as indicated by the dashed arrow. Vehicle 1 suddenly brakes and changes its trajectory to the inner lane. Vehicle 2 arrives at the entrance to the turbo-roundabout.
- Step 2: After suddenly braking, vehicle 1 passes by the front and rear axles’ physical separation of the roundabout. Vehicle 2 slows down and changes its path to the inner lane.
- Step 3: Vehicle 1 continues in the inner lane and exits from the turbo-roundabout. Vehicle 2 continues in the inner lane and then exits the turbo-roundabout. After leaving the turbo-roundabout, both vehicles merge from the left to the right lane. If the vehicles remained in the outer lane, they would exit the turbo-roundabout directly from the right lane.
3.6. Dangerous Approach to the Turbo-Roundabout (Dangerous Entrance to the Circulatory Roadway)
3.7. Driving in the Opposite Direction (Dangerous Approach of the Vehicle to the Opposite Direction)
- Step 1: Vehicle 1 arrives at the turbo-roundabout. It stops at the entrance to the circulatory roadway. The vehicle should continue in the direction of the dashed arrow. Vehicle 1 stands at the entrance for approximately 4 s, and there are no vehicles on the circulatory roadway.
- Step 2: Vehicle 1 suddenly turns left (in the opposite direction). The arriving vehicles that are on the circulatory roadway cannot be seen through the central island of the roundabout. The vehicle stops at the point of dashed traffic signs.
- Step 3: After three vehicles pass, Vehicle 1 continues to drive in the opposite direction through the entrance to the roundabout. It joins its lane via the lane of the opposite direction. The trajectory of the vehicle is marked by a solid red line. The dashed yellow line indicates the correct passage via the turbo-roundabout.
3.8. Turning of the Vehicles (Turning of the Vehicle in a Place Where the Lanes Do Not Allow Turning) and Other Traffic Conflicts
- Vehicle 1 (green-red lorry) (steps 1–4) does not respect the traffic signs “undesirable intertwining of vehicles”, and the vehicle shortens the driving path (designation 2p1-O1P, or 6p2(3)-O1P);
- Vehicle 3 (white lorry) (step 1) does not respect the traffic sign “unwanted driving to the circulatory roadway” (sign “d”), and the vehicle crosses the traffic signs (designation 2d1-O1S, or 6d2 (3)-O1S);
- Vehicle 4 (blue passenger car) (steps 2–4) performs an “unwanted change of direction”, and the vehicle crosses into the inner lane on the circulatory roadway and then changes direction again to exit through the outer lane of the circulatory roadway (designation 2k1-O1P or 6k2(3)-O1P);
- Vehicle 5 (gray passenger car) (steps 3–5) performs an “unwanted change of direction“, and the vehicle crosses to the inner lane on the circulatory roadway and then changes its direction again to exit through the outer lane of the circulatory roadway (designation 2k1-O1P or 6k2(3)-O1P).
3.9. Stopping at the Circulatory Roadway
3.10. Other Traffic Conflicts
- Driving to the curb or outside of the paved part of the road (the reason may be a faulty geometry of the turbo-roundabout, the absence of a “spike” or only the unpredictable behavior of the driver);
- Risky parallel driving on a circulatory roadway, when the vehicle in one lane is affected by a vehicle traveling in a parallel lane (usually, this is due to a lack of respecting horizontal traffic signs or the absence of the physical separation of lanes);
- Passing over the physical separation of lanes on the circulatory roadway because of a change of direction or turning of a vehicle in an arrangement that is not allowed by the turbo-roundabout (this is usually a mistake of a driver who does not respect vertical and horizontal traffic signs).
4. Discussion and Conclusions
Author Contributions
Funding
Acknowledgments
Conflicts of Interest
References
- Worldometer. Available online: https://www.worldometers.info/world-population (accessed on 18 January 2020).
- James, P.; Magee, L.; Scerri, A.; Steger, M.B. Urban Sustainability in Theory and Practice; Routledge, Taylor & Francic Group: London, UK; New York, NY, USA, 2015. [Google Scholar]
- Magee, L.; Scerri, A.; James, P.; Thom, J.A.; Padgham, L.; Hickmott, S.; Deng, H.; Cahill, F. Reframing Social Sustainability Reporting: Toward an Engaged. Environ. Dev. Sustain. 2013, 15, 225–243. [Google Scholar] [CrossRef]
- Kahle, L.R.; Gurel-Atay, E. Communicating Sustainability for the Green Economy; Routledge, Taylor & Francic Group: London, UK; New York, NY, USA, 2013. [Google Scholar]
- World Health Organization. Available online: https://www.who.int/publications-detail/global-status-report-on-road-safety-2018 (accessed on 28 April 2020).
- Petru, J.; Kludka, M.; Krivda, V.; Mahdalova, I.; Zeman, K. Verification of Census Devices in Transportation Research. Acta Polytech. 2015, 55, 415–421. [Google Scholar] [CrossRef]
- Martins, V.; Anholon, R.; Quelhas, O. Sustainability Transportation Methods. In Encyclopedia of Sustainability in Hugher Education; Filho, W.L., Ed.; Springer Nature: Cham, Switzerland, 2019; pp. 1–7. [Google Scholar] [CrossRef]
- Jha, M.K.; Ogallo, H.G.; Owolabi, O. A Quantitative Analysis of Sustainability and Green Transportation Initiatives in Highway Design and Maintenance. Procedia Soc. Behav. Sci. 2014, 111, 1185–1194. [Google Scholar] [CrossRef] [Green Version]
- Krivda, V. Analysis of Conflict Situations in Road Traffic on Roundabouts. Promet Traffic Transp. 2013, 25, 295–303. [Google Scholar] [CrossRef]
- Atombo, C.; Wu, C.; Zhong, M.; Zhang, H. Investigating the Motivational Factors Influencing Drivers Intentions to Unsafe Driving Behaviours: Speeding and Overtaking Violations. Transp. Res. Part F 2016, 43, 104–121. [Google Scholar] [CrossRef]
- Krivda, V.; Mahdalova, I.; Petru, J. Use of Video Analysis of Conflict Situations for Monitoring of Traffic on Urban Road Influenced by Parallel Parking. Communications 2013, 15, 118–125. [Google Scholar]
- Hussain, G.; Batool, I.; Kanwal, N.; Abid, M. The Moderating Effects of Work Safety Climate on Socio-Cognitive Factors and the Risky Driving Behaviour of Truck Drivers in Pakistan. Transp. Res. Part F 2019, 62, 700–715. [Google Scholar] [CrossRef]
- Petru, J.; Krivda, V. The Process of Setting the Parameters for Ensuring Passage of Oversized Cargos. Balt. J. Road Bridge Eng. 2019, 14, 425–442. [Google Scholar] [CrossRef] [Green Version]
- Petru, J.; Krivda, V. Height and Width Parameters for Ensuring Passage of Excessive Loads on Roads. Acta Polytech. 2017, 57, 209–217. [Google Scholar] [CrossRef]
- Zheng, L.; Ismail, K.; Meng, X. Traffic Conflict Techniques for Road Safety Analysis: Open Questions and Some Insights. Can. J. Civ. Eng. 2014, 41, 633–641. [Google Scholar] [CrossRef]
- Ismail, K.; Sayed, T.; Saunier, N. Methodologies for Aggregating Traffic Conflict Indicators. Transp. Res. Rec. J. Transp. Res. Board 2011, 2, 10–19. [Google Scholar] [CrossRef]
- Krivda, V.; Petru, J.; Mahdalova, I.; Zitnikova, K. Evaluation Intersection Building Elements Using Video Analysis; VSB—Technical University of Ostrava: Ostrava, Czech, 2016. [Google Scholar]
- Ambros, J.; Kocourek, J. Methodology of Monitoring and Evaluation of Traffic Conflicts; CDV Brno and CVUT: Prague, Czech, 2013. [Google Scholar]
- Kocarkova, D. Traffic Conflict Techniques in Czech Republic. Procedia Soc. Behav. Sci. 2012, 53, 1029–1034. [Google Scholar] [CrossRef]
- Kocourek, J.; Padelek, T. Application of the Traffic Conflict Technique in the Czech Republic. In Proceedings of the Smart Cities Symposium, Prague, Czech, 26–27 May 2016. [Google Scholar]
- Road Crash Costs. SWOV, Institute for Road Safety Research, The Netherlands. Available online: https://www.swov.nl/en/facts-figures/factsheet/road-crash-costs (accessed on 1 March 2020).
- Kacovsky, J.; Kocourek, J.; Padelek, T. Examination of Logical Trends in Traffic and Traffic Accidents in the Context of Road Safety at Roundabouts. In Proceedings of the Smart Cities Symposium, Prague, Czech, 23–24 May 2019. [Google Scholar]
- Maghrour Zefreh, M.; Torok, A. Distribution of Traffic Speed in Different Traffic Conditions: An Empirical Study in Budapest. Transport 2020, 35, 68–86. [Google Scholar] [CrossRef] [Green Version]
- Maghrour Zefreh, M.; Torok, A. Theoretical Comparison of the Effects of Different Traffic Conditions on Urban Road Traffic Noise. J. Adv. Transp. 2018, 2018, 11. [Google Scholar] [CrossRef] [Green Version]
- Alonso, F.; Esteban, C.; Useche, S.; Colomer, N. Effect of Road Safety Education on Road Risky Behaviors of Spanish Children and Adolescents: Findings from a National Study. Int. J. Environ. Res. Public Health 2018, 15, 2828. [Google Scholar] [CrossRef] [Green Version]
- Gamero, N.; Silla, I.; Sainz-Gonzalez, R.; Sora, B. The Influence of Organizational Factors on Road Transport Safety. Int. J. Environ. Res. Public Health 2018, 15, 1938. [Google Scholar] [CrossRef] [Green Version]
- Demasi, F.; Loprencipe, G.; Moretti, L. Road Safety Analysis of Urban Roads: Case Study of an Italy Municipality. Safety 2018, 4, 58. [Google Scholar] [CrossRef] [Green Version]
- Moslem, S.; Farooq, D.; Ghorbanzadeh, O.; Blaschke, T. Application of the AHP-BWM Model for Evaluating Driver Behavior Factors Related to Road Safety: A Case Study for Budapest. Symmetry 2020, 12, 243. [Google Scholar] [CrossRef] [Green Version]
- Moslem, S.; Gul, M.; Farooq, D.; Celik, E.; Ghorbanzadeh, O.; Blaschke, T. An Integrated Approach of Best-Worst Method (BWM) and Triangular Fuzzy Sets for Evaluating Driver Behavior Factors Related to Road Safety. Mathematics 2020, 8, 414. [Google Scholar] [CrossRef] [Green Version]
- Zheng, L.; Sayed, T.; Essa, M. Validating the Bivariate Extreme Value Modeling Approach for Road Safety Estimation with Different Traffic Conflict Indicators. Accid. Anal. Prev. 2019, 123, 314–323. [Google Scholar] [CrossRef]
- Zheng, L.; Sayed, T.; Essa, M. Bayesian Hierarchical Modeling of the Non-Stationary Traffic Conflict Extremes for Crash Estimation. Anal. Methods Accid. Res. 2019, 23, 100100. [Google Scholar] [CrossRef]
- Zheng, L.; Sayed, T. A Full Bayes Approach for Traffic Conflict-Based Before-After Safety Evaluation Using Extreme Value Theory. Accid. Anal. Prev. 2019, 131, 308–315. [Google Scholar] [CrossRef] [PubMed]
- Tollazzi, T.; Sraml, M.; Lerher, T. Roundabout Arm Capacity Determined by Microsimulation and Discrete Functions Technique. Promet Traffic Transp. 2008, 20, 291–300. [Google Scholar]
- Krivda, V.; Petru, J. Proposal of Capacity Calculation of Roundabout Departure, with Cycle Traffic in Conditions of the Czech Republic. In Proceedings of the 17th International Multidisciplinary Scientific GeoConference SGEM 2017: Geoinformatics, Albena, Bulgaria, 29 June–5 July 2017. [Google Scholar] [CrossRef]
- Tollazzi, T.; Mauro, R.; Guerrieri, M.; Rejcelj, M. Comparative Analysis of Four New Alternative Types of Roundabouts: “Turbo”, “Flower”, “Target” and “Four-Flyover” Roundabout. Period. Polytech. Civ. Eng. 2016, 6, 51–60. [Google Scholar] [CrossRef]
- Guerrieri, M.; Mauro, R.; Tollazzi, T. Turbo-Roundabout: Case Study of Driver Behaviour and Kinematic Parameters of Light and Heavy Vehicles. J. Transp. Eng. Part A Syst. 2019, 145. [Google Scholar] [CrossRef]
- Istoka Otkovic, I.; Tollazzi, T.; Sraml, M. Calibration of Microsimulation Traffic Model Using Neural Network Approach. Expert Syst. Appl. 2013, 40, 5965–5974. [Google Scholar] [CrossRef]
- Kocianova, A.; Drliciak, M.; Pitlova, E. Influence of Roundabout Capacity Enhancement on Emission Production. In Proceedings of the Building up Efficient and Sustainable Transport Infrastructure 2017, BESTInfra 2017, Prague, Czech, 21–22 September 2017. [Google Scholar] [CrossRef]
- Tollazzi, T.; Mauro, R.; Zilioniene, D.; Otkovic, I.I. Modern Roundabouts: A Challenge of the Future. J. Adv. Transp. 2019. [Google Scholar] [CrossRef]
- Gavulova, A.; Drliciak, M. Capacity Evaluation of Roundabouts in Slovakia. Transp. Telecommun. 2012, 13, 1–10. [Google Scholar] [CrossRef] [Green Version]
- GoodVision. Available online: https://goodvisionlive.com (accessed on 10 October 2019).
- Data from Sky. Available online: https://datafromsky.com (accessed on 10 October 2019).
- Folprecht, J. Method of Monitoring and Evaluation of Conflict Situations in Road Transport and its Importance for Increasing Traffic Safety. In Proceedings of the International Scientific Conference on the Occasion of 50 years of VSB Ostrava: Section 19—Transport, Ostrava, Czech, 12–15 September 1995. (In Czech). [Google Scholar]
- Folprecht, J. Current Development and Perspectives of the Method of Monitoring and Evaluation of Conflict Situations in Road Traffic. Siln. Obz. 2000, 61, 39–44. (In Czech) [Google Scholar]
- Terum, J.A.; Svartdal, F. Lessons Learned from Accident and Near—Accident Experiences in Traffic. Saf. Sci. 2019, 120, 672–678. [Google Scholar] [CrossRef]
Type of Traffic Conflict (TC) | 2nd Character | Classification Symbols | Examples of the Most Common Causes of TC | CRW [TC/100 veh.] |
---|---|---|---|---|
Not giving way (see Figure 11) | n | 6n2(3)-O1P | Not respecting traffic signs at the entrance to the turbo-roundabout | 0.74 |
Unwanted intertwining of vehicles (see Figure 12) | p | 2p1-O1P 6p2(3)-O1P | Not respecting horizontal traffic signs, absence of physical separation of lanes | 0.62 |
Unwanted change of direction (see Figure 13) | k | 2k1-O1P 6k2(3)-O1P | Not respecting horizontal and vertical traffic signs, absence of physical separation of lanes | 0.56 |
Unwanted guidance of vehicles (see Figure 14) | r | 2r1-O1S 6r2(3)-O1S | Inappropriate design of geometry, absence of physical separation of lanes | 0.44 |
Shortening the driving path (see Figure 15) | s | 2s1-O1P 6s2(3)-O1P | Inappropriate geometry of the turbo-roundabout, absence of the “spike”, unpredictable behavior of the driver | 0.61 |
Dangerous approach to the turbo-roundabout (see Figure 16 and Figure 17) | a | 2a1-O1P 6a2(3)-O1P | Not respecting horizontal and vertical traffic signs | 0.42 |
Driving in the opposite direction (see Figure 18) | x | 6x3-O1P | Not respecting horizontal and vertical traffic signs, unpredictable behavior of the driver | 0.09 |
Type of Traffic Conflict (TC) | 2nd Character | Classification Symbols | Examples of the Most Common Causes of TC | CRW [TC/100 veh.] |
---|---|---|---|---|
Turning of vehicles (see Figure 19) | o | 2o1-O1P 6o2(3)-O1P | Not respecting horizontal and vertical traffic signs in an area where the turbo-roundabout does not allow turning | 0.39 |
Unwanted driving on the circulatory roadway (see Figure 19) | d | 2d1-O1S 6d2(3)-O1S | Inappropriate design of geometry, absence of physical separation of lanes | 0.28 |
Stopping at the circulatory roadway (see Figure 20) | z | 6z3-O1P | Behavior of the driver, connection to another traffic conflict | 0.11 |
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Krivda, V.; Petru, J.; Macha, D.; Plocova, K.; Fibich, D. An Analysis of Traffic Conflicts as a Tool for Sustainable Road Transport. Sustainability 2020, 12, 7198. https://doi.org/10.3390/su12177198
Krivda V, Petru J, Macha D, Plocova K, Fibich D. An Analysis of Traffic Conflicts as a Tool for Sustainable Road Transport. Sustainability. 2020; 12(17):7198. https://doi.org/10.3390/su12177198
Chicago/Turabian StyleKrivda, Vladislav, Jan Petru, David Macha, Kristyna Plocova, and David Fibich. 2020. "An Analysis of Traffic Conflicts as a Tool for Sustainable Road Transport" Sustainability 12, no. 17: 7198. https://doi.org/10.3390/su12177198
APA StyleKrivda, V., Petru, J., Macha, D., Plocova, K., & Fibich, D. (2020). An Analysis of Traffic Conflicts as a Tool for Sustainable Road Transport. Sustainability, 12(17), 7198. https://doi.org/10.3390/su12177198