The Influence of the Participation of Non-Resident Drivers on Roundabout Capacity

Procedures for the calculation of capacity of all types of unsignalized intersections, therefore roundabouts as well, represents a combination of the empirical model (exponential regression) and the likelihood of accepting time gaps in the priority flow by drivers who perform a minor manoeuvre. The values of the critical headway, as the minimum necessary time gap for performing the wanted minor manoeuvre, and the follow-up headway, have been given as the recommendations in the existing methodologies for capacity calculation, depending on the type of the manoeuvre. In traffic flow theory it has been known that drivers’ behaviour influences the capacity of roads and intersections, and the assessment of that influence is done through the adoption or correction of the values of certain parameters. At unsignalized intersections the influence of drivers’ behaviour is reflected through the values of critical headway and follow-up headway. The acceptance of the value of time gaps, i.e., the value of the critical headway and follow-up headway, depends on drivers’ knowledge of local conditions. This paper presents the parameter values of critical headway and follow-up headway for resident and non-resident drivers based on the analysis and statistical processing of research results. The research was conducted at four roundabouts in four towns in Bosnia and Herzegovina, and the total number of vehicles covered by the research is 31,053. In that way, it has been confirmed that the capacity of roundabouts depends on the behaviour of the alleged groups of drivers, i.e., with the increase of the level of participation of non-resident drivers in traffic flow, the roundabout capacity decreases. The model for determining the influence of non-resident drivers on the roundabout capacity was created by using multiple linear regression. If the proposed model in the procedures of traffic planning is applied, the influence of roundabouts on the level of service, sustainability, and the emission of Green House Gases (GHG) can be realistically assessed and perceived in accordance with the expected participation of resident and non-resident drivers.

[1]  Mohamed M. Ahmed,et al.  Investigating the Impact of Fog on Freeway Speed Selection using the SHRP2 Naturalistic Driving Study Data , 2018, Transportation Research Record: Journal of the Transportation Research Board.

[2]  Juan-Carlos Cano,et al.  Towards Realistic Urban Traffic Experiments Using DFROUTER: Heuristic, Validation and Extensions , 2017, Sensors.

[3]  Zong Tian,et al.  Driver Behavior and Gap-Acceptance Characteristics at Roundabouts in California , 2008 .

[4]  R. Akcelik,et al.  An Assessment of the Highway Capacity Manual 2010 Roundabout Capacity Model , 2011 .

[5]  Werner Brilon,et al.  USEFUL ESTIMATION PROCEDURES FOR CRITIAL GAPS. , 1997 .

[6]  O Hagring CAPCAL2 - A NEW VERSION OF THE SNRA CAPACITY, DELAY, AND VOC SOFTWARE , 1997 .

[7]  Ning Wu,et al.  A New Model for Estimating Critical Gap and Its Distribution at Unsignalized Intersections Based on the Equilibrium of Probabilities , 2006 .

[8]  Ilija Tanackov,et al.  New Analytic Solutions of Queueing System for Shared-Short Lanes at Unsignalized Intersections , 2019, Symmetry.

[9]  Min-Kyu Park,et al.  A Critical Gap Model for Roundabouts in Korea , 2012 .

[10]  Jian John Lu,et al.  Development of Driver Population Factors for Capacity Analysis of Signalized Intersections , 2000 .

[11]  Vuk Bogdanović,et al.  Toward a Capacity Analysis Procedure for Nonstandard Two-Way Stop-Controlled Intersections , 2013 .

[12]  António Luís Pimentel Vasconcelos,et al.  COMPARISON OF PROCEDURES TO ESTIMATE CRITICAL HEADWAYS AT ROUNDABOUTS , 2013 .

[13]  Jurgita Antucheviciene,et al.  The Location Selection for Roundabout Construction Using Rough BWM-Rough WASPAS Approach Based on a New Rough Hamy Aggregator , 2018, Sustainability.

[14]  Nathan P Belz,et al.  Influence of priority taking and abstaining at single-lane roundabouts using cellular automata , 2016 .

[15]  Michael G. Lenné,et al.  Gap acceptance at stop-controlled T-intersections in a simulated rural environment , 2013 .

[16]  Nagui M. Rouphail,et al.  Comparison of Capacity Models for Two-Lane Roundabouts , 2003 .

[17]  Moshe Livneh,et al.  A decision model for gap acceptance and capacity at intersections , 2002 .

[18]  H. C. Dickinson,et al.  THE PHOTOGRAPHIC METHOD OF STUDYING TRAFFIC BEHAVIOR , 1934 .

[19]  John N. Ivan,et al.  Gap acceptance for left turns from the major road at unsignalized intersections , 2014 .

[20]  Álvaro Seco,et al.  A Comparison of Roundabout Capacity Models , 2012 .

[21]  Rahmi Akçelik A ROUNDABOUT CASE STUDY COMPARING CAPACITY ESTIMATES FROM ALTERNATIVE ANALYTICAL MODELS , 2003 .

[22]  Reginald R. Souleyrette,et al.  Gap acceptance parameters for HCM 2010 roundabout capacity model applications in Italy , 2013 .

[23]  Vicente Milanés Montero,et al.  Genetic optimization of a vehicle fuzzy decision system for intersections , 2012, Expert Syst. Appl..

[24]  Hrvoje Pilko,et al.  Urban single-lane roundabouts: A new analytical approach using multi-criteria and simultaneous multi-objective optimization of geometry design, efficiency and safety , 2017 .

[25]  Satish Sharma Driver Population Factor in New Highway Capacity Manual , 1987 .

[26]  Chris Lee,et al.  Empirical Estimation of Capacity for Roundabouts Using Adjusted Gap-Acceptance Parameters for Trucks , 2012 .

[27]  Frank Montgomery,et al.  Roundabout capacity in adverse weather and light conditions , 2010 .

[28]  Mohamed Ahmed,et al.  The impacts of heavy rain on speed and headway Behaviors: An investigation using the SHRP2 naturalistic driving study data , 2018, Transportation Research Part C: Emerging Technologies.

[29]  Ola Hagring,et al.  ESTIMATION OF CRITICAL GAPS IN TWO MAJOR STREAMS , 1998 .

[30]  Shing Chung Josh Wong,et al.  Capacity evaluation of multi-lane traffic roundabout , 2010 .

[31]  Jurgen Harders DIE LEISTUNGSFAHIGKEIT NICHT SIGNALGEREGELTER STADTISCHER VERKEHRSKNOTEN.. , 1968 .

[32]  Juan-Carlos Cano,et al.  Modeling and Characterization of Traffic Flows in Urban Environments , 2018, Sensors.

[33]  Orazio Giuffrè,et al.  Gap-accepteance parameters for roundabouts: a systematic review , 2015 .

[34]  Vuk Bogdanović,et al.  Capacity Analysis Procedure for Four-leg Non-standard Unsignalised Intersections , 2017 .

[35]  Claudio Meneguzzer,et al.  Transfer and updating of Logit models of gap-acceptance and their operational implications , 2013 .

[36]  Tomaž Tolazzi THE CONTRIBUTION TO THE PROCEDURE OF CAPACITY DETERMINATION AT UNSIGNALIZED PRIORITY-CONTROLLED INTERSECTIONS , 2004 .

[37]  Bruce Robinson,et al.  A further investigation on critical gap and follow-up time , 2000 .

[38]  W Siegloch,et al.  DIE LEISTUNGSERMITTLUNG AN KNOTENPUNKTEN OHNE LICHTSIGNALSTEUERUNG , 1973 .

[39]  Xiaobo Qu,et al.  Estimation of entry capacity for single-lane modern roundabouts: case study in Queensland, Australia , 2014 .

[40]  Enrique F. Castillo,et al.  The Observability Problem in Traffic Network Models , 2008, Comput. Aided Civ. Infrastructure Eng..

[41]  邓卫,et al.  Driver's Critical Gap Calibration at Urban Roundabouts: A Case Study in China , 2008 .

[42]  Wanli Min,et al.  Real-time road traffic prediction with spatio-temporal correlations , 2011 .

[43]  A Weinert,et al.  ESTIMATION OF CRITICAL GAPS AND FOLLOW-UP TIMES AT RURAL UNSIGNALIZED INTERSECTIONS IN GERMANY , 2000 .

[44]  Laura Stanley,et al.  Alternative methodology for determining gap acceptance for two-way stop-controlled intersections , 2012 .

[45]  Yinan Zheng,et al.  A model of pedestrian delay at unsignalized intersections in urban networks , 2017 .